CN105204357B - The contextual model method of adjustment and device of intelligent home device - Google Patents
The contextual model method of adjustment and device of intelligent home device Download PDFInfo
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The disclosure is directed to the contextual model method of adjustment and device of intelligent home device, methods described includes：Obtain audio-frequency information；The trigger condition for carrying out mode adjustment in response to determining the audio-frequency information to meet, target context pattern corresponding to the audio-frequency information is adjusted to by the contextual model of intelligent home device.The disclosure realizes the contextual model according to audio-frequency information adjust automatically intelligent home device, is controlled manually without user, improves contextual model regulated efficiency, facility is brought to user.
Description
Technical field
This disclosure relates to communication technical field, more particularly to the contextual model method of adjustment and device of intelligent home device.
Background technology
With the development of science and technology with the popularization of internet, there are the various intelligent families for being easy to people's daily life
Equipment is occupied, by taking intelligent electric lamp as an example, electric light can be made by adjusting the parameters such as the color of intelligent electric lamp, colour temperature, brightness with difference
Contextual model be shown.But in correlation technique, user need to select the contextual model of intelligent electric lamp by remote control, real
Now to the adjustment of intelligent electric lamp contextual model, regulated efficiency is low, poor user experience.
The content of the invention
Present disclose provides the contextual model method of adjustment and device of intelligent home device, to solve the feelings in correlation technique
The problem of scape mode adjustment is less efficient, and Consumer's Experience is poor.
According to the first aspect of the embodiment of the present disclosure, there is provided a kind of contextual model method of adjustment of intelligent home device, institute
The method of stating includes：
Obtain audio-frequency information；
The trigger condition for carrying out mode adjustment in response to determining the audio-frequency information to meet, by the scene of intelligent home device
Target context pattern corresponding to mode adjustment to the audio-frequency information.
Optionally, the trigger condition for carrying out mode adjustment in response to determining the audio-frequency information to meet, including：
Target audio feature and predetermined audio characteristic matching in response to determining the audio-frequency information.
Optionally, the target audio feature and predetermined audio characteristic matching in response to determining the audio-frequency information, bag
Include：
The Similarity value of target voice content and predetermined voice content in response to the determination audio-frequency information is more than or waited
In similarity threshold.
Optionally, the target audio feature and predetermined audio characteristic matching in response to determining the audio-frequency information, bag
Include：
In response to determining the target voice intensity of the audio-frequency information in default voice strength range.
Optionally, the target audio feature and predetermined audio characteristic matching in response to determining the audio-frequency information, bag
Include：
In response to determining that the type of the audio-frequency information is predetermined voice type, the predetermined voice type comprises at least：
Music type.
Optionally, the target audio feature in response to determining the audio-frequency information is consistent with predetermined audio feature, wraps
Include：
In response to determining the acquisition time of the audio-frequency information in the range of the scheduled time.
Optionally, the contextual model of intelligent home device is adjusted to target context corresponding to the audio-frequency information described
Before pattern, methods described also includes：
Voice intensity is extracted from the audio-frequency information；
In response to determining that the voice intensity is more than or equal to the voice intensity threshold, by the target of the audio-frequency information
Audio frequency characteristics are matched with predetermined audio feature.
Optionally, it is described that the contextual model of intelligent home device is adjusted to target context mould corresponding to the audio-frequency information
Formula, including：
Mode adjustment corresponding to the audio-frequency information is obtained to instruct；
Mode adjustment instruction is sent to the intelligent home device, to cause the intelligent home device according to institute
Mode adjustment instruction is stated to adjust contextual model to the target context pattern.
Optionally, the intelligent home device includes intelligent electric lamp, and the contextual model includes audio-visual pattern, reads mould
Formula, pattern of receiving a visitor, party pattern, dining pattern, late into the night pattern, sleep pattern, colorful pattern, one kind in soft pattern or more
Kind.
According to the second aspect of the embodiment of the present disclosure, there is provided a kind of contextual model adjusting apparatus of intelligent home device, institute
Stating device includes：
Audio-frequency information acquiring unit, it is configured as obtaining audio-frequency information；
Contextual model adjustment unit, it is configured as the audio-frequency information that the audio-frequency information acquiring unit obtains and meets
When carrying out the trigger condition of mode adjustment, the contextual model of intelligent home device is adjusted to target corresponding to the audio-frequency information
Contextual model.
Optionally, the contextual model adjustment unit includes：
Determination subelement, it is configured as the target audio for the audio-frequency information that the audio-frequency information acquiring unit obtains
When feature is with predetermined audio characteristic matching, determine that the audio-frequency information meets the trigger condition for carrying out mode adjustment.
Optionally, the determination subelement includes：
First determining module, it is configured as the target language for the audio-frequency information that the audio-frequency information acquiring unit obtains
When the Similarity value of sound content and predetermined voice content is more than or equal to similarity threshold, determine that the audio-frequency information meets to carry out
The trigger condition of mode adjustment.
Optionally, the determination subelement includes：
Second determining module, it is configured as the target language for the audio-frequency information that the audio-frequency information acquiring unit obtains
When loudness of a sound degree is in default voice strength range, determine that the audio-frequency information meets the trigger condition for carrying out mode adjustment.
Optionally, the determination subelement includes：
3rd determining module, the type for being configured as the audio-frequency information that the audio-frequency information acquiring unit obtains are
During predetermined voice type, determine that the audio-frequency information meets the trigger condition for carrying out mode adjustment, the predetermined voice type is extremely
Include less：Music type.
Optionally, the determination subelement includes：
4th determining module, when being configured as the collection for the audio-frequency information that the audio-frequency information acquiring unit obtains
Between in the range of the scheduled time when, determine that the audio-frequency information meets the trigger condition for carrying out mode adjustment.
Optionally, described device also includes：
Voice intensity extraction unit, it is configured as carrying from the audio-frequency information of audio-frequency information acquiring unit acquisition
Take voice intensity；
Audio feature extraction unit, the voice intensity for being configured as the voice intensity extraction unit extraction are more than
Or during equal to the voice intensity threshold, the target audio feature of the audio-frequency information is matched with predetermined audio feature.
Optionally, the contextual model adjustment unit includes：
Instruction obtains subelement, and the audio-frequency information for being configured as obtaining the audio-frequency information acquiring unit acquisition is corresponding
Mode adjustment instruction；
Contextual model adjusts subelement, is configured as the mode adjustment instruction that the instruction is obtained subelement and obtained
Send to the intelligent home device, to cause the intelligent home device to be adjusted contextual model according to mode adjustment instruction
The target context pattern.
Optionally, the intelligent home device includes intelligent electric lamp, and the contextual model includes audio-visual pattern, reads mould
Formula, pattern of receiving a visitor, party pattern, dining pattern, late into the night pattern, sleep pattern, colorful pattern, one kind in soft pattern or more
Kind.
According to the third aspect of the embodiment of the present disclosure, there is provided a kind of contextual model adjusting apparatus of intelligent home device, bag
Include：
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as：
Obtain audio-frequency information；
The trigger condition for carrying out mode adjustment in response to determining the audio-frequency information to meet, by the scene of intelligent home device
Target context pattern corresponding to mode adjustment to the audio-frequency information.
The technical scheme provided by this disclosed embodiment can include the following benefits：
The disclosure is by obtaining audio-frequency information, will when it is determined that audio-frequency information meets to carry out the trigger condition of mode adjustment
The contextual model of intelligent home device is adjusted to target context pattern corresponding to audio-frequency information, realizes and is adjusted automatically according to audio-frequency information
The contextual model of whole intelligent home device, controlled manually without user, improve contextual model regulated efficiency, brought to user
It is convenient.
The disclosure judges audio using the target audio feature of audio-frequency information with the mode that predetermined audio feature is matched
Whether information meets the trigger condition for carrying out mode adjustment, so as to accurately judge whether trigger condition meets, and then
According to the contextual model of audio-frequency information adjust automatically intelligent home device, contextual model regulated efficiency is improved.
The disclosure is by the way that the target voice content in audio-frequency information is matched with predetermined voice content, in Similarity value
During more than or equal to similarity threshold, determine that audio-frequency information meets the trigger condition for carrying out mode adjustment, and smart home is set
Standby contextual model is adjusted to target context pattern corresponding to audio-frequency information, realizes according to voice content adjust automatically smart home
The contextual model of equipment, controlled manually without user, improve contextual model regulated efficiency, facility is brought to user.
The disclosure judges to meet to carry out when it is determined that the target voice intensity of audio-frequency information is in default voice strength range
The trigger condition of mode adjustment, and the contextual model of intelligent home device is adjusted to target context mould corresponding to audio-frequency information
Formula, realizes the contextual model according to voice intensity adjust automatically intelligent home device, is controlled manually without user, improves scene
Mode adjustment efficiency, facility is brought to user.
The disclosure judges to meet the triggering for carrying out mode adjustment when it is determined that the type of audio-frequency information is predetermined voice type
Condition, and the contextual model of intelligent home device is adjusted to target context pattern corresponding to audio-frequency information, realize according to audio
The contextual model of type adjust automatically intelligent home device, contextual model regulated efficiency is improved, particularly when audio types are sound
During happy type, the intelligent home device of association is adjusted to the contextual model for being adapted to music automatically, controls, carries manually without user
High contextual model regulated efficiency, facility is brought to user.
When the disclosure is by determining that the acquisition time of audio-frequency information is in the range of the scheduled time, judgement meets to adjust into row mode
Whole trigger condition, and the contextual model of intelligent home device is adjusted to target context pattern corresponding to audio-frequency information, realize
According to the contextual model of acquisition time adjust automatically intelligent home device, contextual model regulated efficiency is improved, is brought to user
It is convenient.
Before the disclosure extracts target audio feature from audio-frequency information, the voice intensity in audio-frequency information can also be entered
Row judges, when voice intensity reaches voice intensity threshold, target audio feature is just extracted from audio-frequency information, to determine to use
Whether family want to carry out contextual model adjustment to intelligent home device by voice, avoids the situation of erroneous judgement.
The disclosure can be used in terminal, and audio-frequency information is obtained by terminal, meet to carry out mode adjustment in audio-frequency information
Trigger condition when, obtain audio-frequency information corresponding to mode adjustment instruction, by mode adjustment instruction send to terminal association
Intelligent home device, contextual model is adjusted to the target context mould so that intelligent home device instructs according to mode adjustment
Formula.The disclosure can gather audio-frequency information by sound collector intrinsic in terminal, avoid in intelligent home device setting sound
The wasting of resources caused by sound collector, and due to terminal apart from user distance typically than intelligent home device apart from user's
Distance is near, and radio reception effect is good, so as to improve judgment accuracy.
Intelligent home device in the disclosure can be intelligent electric lamp, scene mould that can be by the disclosure to intelligent electric lamp
Formula is automatically adjusted, and improves the regulated efficiency of intelligent electric lamp contextual model, and facility is brought to user.
It should be appreciated that the general description and following detailed description of the above are only exemplary and explanatory, not
The disclosure can be limited.
Brief description of the drawings
Accompanying drawing herein is merged in specification and forms the part of this specification, shows the implementation for meeting the disclosure
Example, and be used to together with specification to explain the principle of the disclosure.
Figure 1A is a kind of contextual model adjustment side of intelligent home device of the disclosure according to an exemplary embodiment
The flow chart of method.
Figure 1B is a kind of contextual model adjustment side of intelligent home device of the disclosure according to an exemplary embodiment
The application scenarios schematic diagram of method.
Fig. 2 to 5 is that the contextual model of another intelligent home device of the disclosure according to an exemplary embodiment is adjusted
The flow chart of adjusting method.
Fig. 6 is a kind of contextual model adjusting apparatus of intelligent home device of the disclosure according to an exemplary embodiment
Block diagram.
Fig. 7 to 13 is that the contextual model of another intelligent home device of the disclosure according to an exemplary embodiment is adjusted
The block diagram of engagement positions.
Figure 14 is a kind of contextual model adjustment dress of intelligent home device of the disclosure according to an exemplary embodiment
The structural representation put.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the disclosure.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the disclosure.
It is only merely for the purpose of description specific embodiment in the term that the disclosure uses, and is not intended to be limiting the disclosure.
" one kind " of singulative used in disclosure and the accompanying claims book, " described " and "the" are also intended to including majority
Form, unless context clearly shows that other implications.It is also understood that term "and/or" used herein refers to and wrapped
Containing the associated list items purpose of one or more, any or all may be combined.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the disclosure
A little information should not necessarily be limited by these terms.These terms are only used for same type of information being distinguished from each other out.For example, do not departing from
In the case of disclosure scope, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as
One information.Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determining ".
Method of disclosure can be used in intelligent home device, it is determined that audio-frequency information meets the triggering for carrying out mode adjustment
During condition, triggering carries out contextual model adjustment.This method can be used in terminal, it is determined that audio-frequency information meets into row mode
During the trigger condition of adjustment, determine corresponding to audio-frequency information that mode adjustment instructs, by mode adjustment instruction send to intelligent family
Equipment is occupied, adjusts contextual model to target context pattern so that intelligent home device instructs according to mode adjustment.Wherein, intelligence
Home equipment can be the home equipment associated with terminal (actuating station of this method).The disclosure is mainly applied to terminal in method
Exemplified by illustrate.
As shown in Figure 1A, Figure 1A is that a kind of contextual model of intelligent home device according to an exemplary embodiment is adjusted
The flow chart of adjusting method, this method can be used in terminal, comprise the following steps：
In a step 101, audio-frequency information is obtained.
The terminal being related in the embodiment of the present disclosure is the smart machine for having wireless network access function, for example, intelligent hand
The portable terminals such as machine, tablet personal computer, Intelligent bracelet, PDA (Personal Digital Assistant, personal digital assistant)
End.
Terminal can have the function of collection audio-frequency information, directly gather audio-frequency information；Terminal can also be with associating in advance
Audio collecting device establish wireless connection, audio-frequency information is obtained from audio collecting device.Wherein, audio collecting device can be with
After unlimited be connected is established with terminal, audio information transmissions to the terminal, or audio collecting device for implementing collection is being received
Gather current audio-frequency information after to terminal request, and by audio information transmissions to terminal.
In a step 102, the trigger condition for carrying out mode adjustment in response to determining audio-frequency information to meet, smart home is set
Standby contextual model is adjusted to target context pattern corresponding to audio-frequency information.
Trigger condition is the condition that triggering carries out mode adjustment in the embodiment of the present disclosure, carries out the trigger condition of mode adjustment
It can be preset according to the feature of audio-frequency information, for example, the trigger condition for carrying out mode adjustment can be audio-frequency information
Target audio feature and predetermined audio characteristic matching etc., further, carrying out the trigger condition of mode adjustment is included with next
Kind or a variety of conditions：Can be that target voice content meets that matching requires in audio-frequency information；It can also be voice in audio-frequency information
Intensity meets that matching requires；It can also be that the acquisition time of audio-frequency information reaches matching and required etc., reach in audio-frequency information
With the trigger condition that its satisfaction progress mode adjustment is judged after requiring.
As one of which embodiment, it can be determined that whether audio-frequency information meets the trigger condition for carrying out mode adjustment, when
When audio-frequency information meets to carry out the trigger condition of mode adjustment, the contextual model of intelligent home device is adjusted to audio-frequency information pair
The target context pattern answered.In this embodiment, terminal can establish wireless connection with the intelligent home device associated in advance, so
Afterwards when audio-frequency information meets to carry out the trigger condition of mode adjustment, determine that mode adjustment corresponding to audio-frequency information instructs, by mould
Formula adjust instruction is sent to intelligent home device so that intelligent home device according to mode adjustment instruct by contextual model adjust to
Target context pattern.
Wherein, audio-frequency information can be phonetic order, then directly intelligent home device entered according to the phonetic order of identification
Market scape mode adjustment.Audio-frequency information may not be phonetic order, but specific audio-frequency information, can pre-establish audio
Information and the corresponding relation of mode adjustment instruction (target context pattern), the triggering bar for carrying out mode adjustment is met in audio-frequency information
During part, determine that mode adjustment corresponding to audio-frequency information instructs, scene mould is carried out to intelligent home device according to mode adjustment instruction
Formula adjusts.
Wherein, contextual model is referred to as scene mode, and contextual model is a whole set of that selected according to different scenes
Answer-mode.Intelligent home device can be the home equipment for having wireless network access function and contextual model regulatory function,
For example, intelligent home device can be intelligent electric lamp, intelligent television, intelligent air condition, intelligent refrigerator etc..The intelligence being related in the disclosure
Energy home equipment can be a home equipment or the multiple home equipments to be linked according to different scenes.Disclosure master
To be illustrated by taking intelligent electric lamp as an example.Intelligent home device includes a variety of different contextual models, intelligence in every kind of contextual model
The control parameter of energy home equipment is different.
By taking intelligent electric lamp as an example, intelligent electric lamp can include fluorescent lamp, shot-light, Down lamp, pendent lamp etc., can be by adjusting intelligence
Can the control parameter such as the color of electric light, colour temperature, brightness electric light is shown with different contextual models., i.e., in different scenes
In pattern, the control parameter such as the color of intelligent electric lamp, colour temperature, brightness is different.
The contextual model of intelligent electric lamp can include audio-visual pattern, reading model, pattern of receiving a visitor, party pattern, dining mould
Formula, late into the night pattern, sleep pattern, colorful pattern, soft pattern etc..Each pattern predefines corresponding lamp light mode, example
Such as, audio-visual pattern is the audio-visual lamp light mode of predefined suitable broadcasting；Reading model is the light of predefined suitable reading
Pattern；Party pattern is the lamp light mode of predefined suitable party；The pattern of receiving a visitor is the predefined light mould for being adapted to receive a visitor
Formula；Dining pattern is the lamp light mode of predefined suitable dining；Late into the night pattern is the light got up in the predefined suitable late into the night
Pattern；Sleep pattern is the lamp light mode of predefined suitable sleep；Colorful pattern is properly termed as KTV patterns again, is predefined
Suitable singing when lamp light mode；Soft pattern is light than milder pattern.
By taking late into the night pattern as an example, when user gets up toilet from the state of sleeping soundly, used in order to avoid the unlatching of electric light
Family sobers up, and influences subsequently to sleep, it is necessary to which the current sleep pattern of intelligent electric lamp is adjusted into the late into the night by method of disclosure
Pattern.Sleep pattern can be that all electric lights are closed, and late into the night pattern can be set as slowly lighting electric light, and electricity
Lamp brightness is the 50% of normal brightness, or smaller.
As seen from the above-described embodiment, when it is determined that audio-frequency information meets to carry out the trigger condition of mode adjustment, by intelligent family
The contextual model for occupying equipment is adjusted to target context pattern corresponding to audio-frequency information, realizes according to audio-frequency information adjust automatically intelligence
The contextual model of home equipment, controlled manually without user, improve contextual model regulated efficiency, facility is brought to user.
Referring to shown in Figure 1B, Figure 1B is a kind of feelings of intelligent home device of the disclosure according to an exemplary embodiment
The application scenarios schematic diagram of scape mode adjusting method.In the application scenarios, including smart mobile phone 110 and intelligent electric lamp 120, intelligence
Energy mobile phone can carry out radio communication with intelligent electric lamp by WiFi or bluetooth, and the sound transducer that pass through in mobile phone gathers mobile phone
The audio-frequency information of surrounding, and judge whether audio-frequency information meets the trigger condition for carrying out mode adjustment, when meeting trigger condition,
Mode adjustment instruction corresponding to audio-frequency information is sent to intelligent electric lamp, so that intelligent electric lamp is instructed scene according to mode adjustment
Mode adjustment is target context pattern.
As shown in Fig. 2 Fig. 2 is the scene of another intelligent home device of the disclosure according to an exemplary embodiment
The flow chart of mode adjusting method, comprises the following steps：
In step 201, audio-frequency information is obtained.
In step 202, in response to determining the target voice content of audio-frequency information and the Similarity value of predetermined voice content
More than or equal to similarity threshold, the contextual model of intelligent home device is adjusted to target context corresponding to target voice content
Pattern.
Target audio feature can be target voice content in the embodiment of the present disclosure.By the side for identifying concrete sound content
Formula judges whether audio-frequency information meets the trigger condition of mode adjustment, in target voice content and predetermined voice content similarity ratio
When higher, judge target voice content and predetermined voice content matching, that is, meet trigger condition, contextual model tune can be carried out
It is whole.
Voice content identification mentioned by the disclosure can use template matches strategy, and primary voice data is instructed
Practice, obtain sample voice characteristic vector storehouse, by target voice characteristic vector respectively with the sample in sample voice characteristic vector storehouse
Speech characteristic vector is compared, and realizes the identification to target voice characteristic vector.Further, voice content identification is being carried out
During, target voice characteristic vector can be extracted from audio-frequency information.By target voice characteristic vector respectively with multiple samples
Speech characteristic vector is compared, and obtains multiple Similarity values.Wherein, the characteristic vector in predetermined voice content is sample language
Sound characteristic vector.Judge whether highest similarity value is more than or equal to similarity threshold in multiple Similarity values.When highest is similar
When degree is more than similarity threshold, target voice content and predetermined voice content matching are judged.
Wherein, the method for speech recognition can be the alone word voice identification based on dynamic time warpping pattern, based on hidden Ma Er
Section's husband's Model voice identification etc..Can it should be noted that target voice characteristic vector is identified by speech recognition algorithm
Referring to the speech recognition process in correlation technique, no longer to repeat this embodiment of the present disclosure.
Further, acquired audio-frequency information can be pre-processed, the purpose of pretreatment is that filtering is known with voice
Not unrelated information, retain important information, so as to be advantageous to extract target voice characteristic vector.Pretreatment can include voice and believe
Digitlization, anti aliasing distortion filtering, preemphasis, framing adding window and end-point detection of breath etc..Sub-frame processing is completed in audio-frequency information
After end-point detection, target voice characteristic vector is can extract, so as to improve the degree of accuracy of extraction target voice characteristic vector.
In wherein a kind of implementation, target voice content can be phonetic order, then instructs each raw tone
Speech characteristic vector is trained, and obtains sample voice characteristic vector storehouse.Highest similarity value is more than or waited in Similarity value
When similarity threshold, phonetic order corresponding to highest similarity value is obtained, and then according to phonetic order to intelligent home device
Carry out contextual model adjustment.For intelligent electric lamp, mode adjustment instruction can be audio-visual pattern, reading model, pattern of receiving a visitor, poly-
Can pattern, dining pattern, late into the night pattern, sleep pattern, colorful pattern, soft pattern etc..For example, when user wants to watch film
When, by the voice of " audio-visual pattern " intelligent electric lamp can be controlled to carry out the switching of audio-visual pattern, realize that intelligent electric lamp enters
Audio-visual pattern.
In another implementation, target voice content can also be the predetermined voice content of non-phonetic order, that is, have
There is the voice content of certain sense.In implementation process, voice content can be preassigned, and establishes predetermined voice content and mould
The corresponding relation of formula adjust instruction.When highest similarity value is more than or equal to similarity threshold in Similarity value, highest is determined
Predetermined voice content corresponding to Similarity value, and the corresponding relation instructed according to predetermined voice content and mode adjustment, it is determined that most
Mode adjustment corresponding to high Similarity value instructs.For example, various original sobs are trained, sample voice characteristic vector is obtained
Storehouse.In advance by the soft Model Establishment corresponding relation of sob and intelligent electric lamp, then when detecting that sob and sob meet to require,
It is soft pattern by the mode adjustment of intelligent electric lamp.
Further, since the sound of each user is different, different user can be identified according to alternative sounds, then in predetermined voice
Appearance can also be the voice that validated user is prerecorded, then the language of different user can be pre-stored in sample voice characteristic vector storehouse
Sound parameter, and establish the speech parameter and the corresponding relation of mode adjustment instruction of each user.Each user can at least store
One speech parameter, different phonetic parameter can correspond to model identical adjust instruction, can also correspond to different mode adjust instruction.
, can be by multiple users in target voice characteristic vector and sample voice characteristic vector storehouse after extracting target voice characteristic vector
Speech parameter is compared, and obtains Similarity value, when highest similarity value is more than or equal to similarity threshold in Similarity value,
User is determined according to speech parameter corresponding to highest similarity value, and can determine that mode adjustment corresponding to user instructs, according to
Mode adjustment instruction carries out contextual model adjustment to intelligent home device.It can be seen that what the embodiment can be sent to specific user
Voice signal is identified, and so as to distinguish different user, and performs mode adjustment corresponding to the user and instructs.
In addition, if when highest similarity value is less than similarity threshold in Similarity value, phonetic entry mistake can be carried out
Voice message, target voice characteristic vector can also be labeled as to stranger's voice, and stranger's voice can be carried out
Record, so that other validated users are inquired about.
As seen from the above-described embodiment, terminal is by the way that the target voice content in audio-frequency information and predetermined voice content are carried out
Matching, when Similarity value is more than similarity threshold, determine that audio-frequency information meets the trigger condition of progress mode adjustment, and by intelligence
The contextual model of energy home equipment is adjusted to target context pattern corresponding to audio-frequency information, realizes according to voice content adjust automatically
The contextual model of intelligent home device, controlled manually without user, improve contextual model regulated efficiency, brought just to user
Profit.
In an optional implementation, it is adjusted to by the contextual model of intelligent home device corresponding to audio-frequency information
Before target context pattern, methods described also includes：Voice intensity is extracted from audio-frequency information；In response to determining that voice intensity is big
In or equal to voice intensity threshold, the target audio feature of audio-frequency information is matched with predetermined audio feature.
In the present embodiment, the voice intensity in audio-frequency information can be judged, reached in voice intensity by audio
It is just that the target audio of audio-frequency information is special during the trigger condition that the target audio feature of information is matched with predetermined audio feature
Sign is matched with predetermined audio feature, to determine whether user wants to carry out contextual model to intelligent home device by voice
Adjustment, avoid the situation of erroneous judgement.Wherein, voice intensity can be voice decibel.
On the one hand, voice intensity can be extracted from audio-frequency information；By voice intensity compared with voice intensity threshold；
When voice intensity is more than or equal to voice intensity threshold, determine voice intensity reach by the target audio feature of audio-frequency information with
The trigger condition that predetermined audio feature is matched.When voice intensity is less than the first decibel threshold, determine that voice intensity does not reach
To the trigger condition for being matched the target audio feature of audio-frequency information with predetermined audio feature, i.e., no longer carry out matching step
Suddenly, the wasting of resources is avoided.
On the other hand, the mean intensity of sound being currently received can also be first determined, when voice intensity exceedes averagely by force
During the setting multiple (for example, voice intensity exceedes 1.5 times of mean intensity) of degree, it is determined that the target audio feature by audio-frequency information
The trigger condition matched with predetermined audio feature.When setting multiple of the voice intensity not less than mean intensity, language is determined
Loudness of a sound degree is not up to the trigger condition for being matched the target audio feature of audio-frequency information with predetermined audio feature.
As shown in figure 3, Fig. 3 is the scene of another intelligent home device of the disclosure according to an exemplary embodiment
The flow chart of mode adjusting method, comprises the following steps：
In step 301, audio-frequency information is obtained.
In step 302, in response to determine audio-frequency information target voice intensity in default voice strength range, by intelligence
The contextual model of energy home equipment is adjusted to target context pattern corresponding to audio-frequency information.
The embodiment of the present disclosure can extract target voice intensity from audio-frequency information, and target voice intensity can be audio letter
Voice decibel in breath.The target voice intensity of extraction is judged whether in default voice strength range, when target voice intensity
When in default voice strength range, judge that audio-frequency information meets the trigger condition for carrying out mode adjustment, then can be by intelligent family
The contextual model for occupying equipment is adjusted to target context pattern corresponding to default voice strength range.
Wherein, it can be a upper range or a lower range to preset voice strength range, for example, in advance
If voice strength range may be greater than the strength range of the first voice intensity threshold or less than the second voice intensity threshold
The strength range of value.
Associated wherein it is possible to pre-establish default voice strength range with what target context pattern or mode adjustment instructed
Relation, when the target voice intensity of audio-frequency information is in default voice strength range, it can be determined according to incidence relation default
Target context pattern corresponding to voice strength range.
For example, when child crys, voice intensity is typically bigger, therefore can set default voice strength range
The strength range more than the first voice intensity threshold is set to, wherein, the first voice intensity threshold judges whether sob
Standard, when target voice intensity is more than the first voice intensity threshold, (target voice intensity is in default voice strength range
When), assert in current environment sob be present, then intelligent electric lamp can be adjusted to soft pattern, furthermore it is also possible to coordinated signals
Curtain closing etc..
In addition, when target voice intensity is not in default voice strength range, judge that audio-frequency information is not up to pattern tune
Whole trigger condition, then it can be set as flow and terminate, can also be set as continuing in other embodiment to audio-frequency information
Judgement, such as, it can be determined that the target voice content of audio-frequency information and the Similarity value of predetermined voice content whether be more than or
Equal to similarity threshold, the trigger condition for reaching mode adjustment is determined whether.
Understand, the voice intensity in the judgement and previous embodiment in the present embodiment to target voice intensity judges purpose not
Together.Purpose of the voice intensity compared with voice intensity threshold is to determine whether voice intensity reaches by previous embodiment
The trigger condition that the target audio feature of audio-frequency information is matched with predetermined audio feature, it is in order to true the purpose of the present embodiment
Whether attribute loudness of a sound degree reaches the trigger condition of mode adjustment.
As seen from the above-described embodiment, when it is determined that the target voice intensity of audio-frequency information is in default voice strength range,
Judge to meet the trigger condition for carrying out mode adjustment, and the contextual model of intelligent home device is adjusted to corresponding to audio-frequency information
Target context pattern, realizes the contextual model according to voice intensity adjust automatically intelligent home device, is controlled manually without user,
Contextual model regulated efficiency is improved, facility is brought to user.
As shown in figure 4, Fig. 4 is the scene of another intelligent home device of the disclosure according to an exemplary embodiment
The flow chart of mode adjusting method, comprises the following steps：
In step 401, audio-frequency information is obtained.
In step 402, in response to determining that the type of audio-frequency information is predetermined voice type, by the feelings of intelligent home device
Target context pattern corresponding to scape mode adjustment to audio-frequency information, predetermined voice type comprise at least：Music type.
The type of audio-frequency information can be identified for the embodiment of the present disclosure, and determine whether to make a reservation for according to recognition result
Sound-type.Predetermined voice type can be music type, audio-visual type etc..The disclosure is mainly said by taking music type as an example
It is bright.
The embodiment of the present disclosure can pre-establish music type and (be adapted to the scene mould of music with target context pattern
Formula) incidence relation.When getting audio-frequency information, audio-frequency information is identified, judges whether it is music.Such as can be with
By judging whether that the music informations such as song or accompaniment judge whether the type of audio-frequency information is music type, when being defined as
During music type, then target context pattern corresponding to music type can be determined, so as to by the contextual model of intelligent home device
It is adjusted to target context pattern.
For example, when detect in current environmental sound song or melody be present when, then can be by the feelings of intelligent electric lamp
Scape pattern switching is colorful pattern, and linkage closes curtain, starts microphone etc..
In wherein a kind of optional implementation, specific musical features are may recognize that, such as identify audio
The music style of information, then the target context pattern according to corresponding to determining different music style.
Wherein, music recognition can use technical Analysis and the pretreatments such as the preemphasis of speech signal analysis, framing, adding window
Music signal, while also need to be directed to several principal characters of the music signal in musicology：Pitch, value, volume, rhythm etc.
Analyzed and extracted.In music recognition, music partitioning algorithm, pitch extraction algorithm, mode extraction algorithm, pleasure can be used
Sound recognizer etc..It is may refer to it should be noted that music is identified by Music Recognition Algorithm in correlation technique
Music recognition process, this embodiment of the present disclosure is no longer repeated.
In addition, when the type of audio-frequency information is not predetermined voice type, judge that audio-frequency information is not up to mode adjustment
Trigger condition, then it can be set as flow and terminate, can also be set as continuing to sentence audio-frequency information in other embodiment
It is disconnected, such as, it can be determined that whether the target voice content of audio-frequency information is more than or equal to the Similarity value of predetermined voice content
Similarity threshold, determine whether the trigger condition for reaching mode adjustment.
As seen from the above-described embodiment, when it is determined that the type of audio-frequency information is predetermined voice type, judge to meet to carry out mould
The trigger condition of formula adjustment, and the contextual model of intelligent home device is adjusted to target context pattern corresponding to audio-frequency information,
The contextual model according to audio types adjust automatically intelligent home device is realized, contextual model regulated efficiency is improved, particularly works as
When audio types are music type, the intelligent home device of association is adjusted to the contextual model for being adapted to music automatically, without use
Family is controlled manually, improves contextual model regulated efficiency, and facility is brought to user.
As shown in figure 5, Fig. 5 is the scene of another intelligent home device of the disclosure according to an exemplary embodiment
The flow chart of mode adjusting method, comprises the following steps：
In step 501, audio-frequency information is obtained.
In step 502, in response to determine audio-frequency information acquisition time in the range of the scheduled time, smart home is set
Standby contextual model is adjusted to target context pattern corresponding to audio-frequency information.
The embodiment of the present disclosure is by judging the acquisition time of audio-frequency information, when acquisition time is in preset time range
When interior, determine that mode adjustment corresponding to the preset time range instructs, intelligent home device is carried out according to mode adjustment instruction
Contextual model adjusts.For example, preset time range is arranged to 00:00 to 6：00, collect audio-frequency information within the period
When, then the contextual model of intelligent electric lamp is adjusted to late into the night pattern, intelligent electric lamp is slowly lighted, and electric light brightness is normal
The 50% of brightness, avoid thoroughly waking up user, improve Consumer's Experience.
In wherein a kind of optional implementation, judging the acquisition time of audio-frequency information in preset time range
Afterwards, it can also judge whether audio-frequency information is the audio-frequency information gathered first in the preset time period, if, it is determined that this is default
Mode adjustment corresponding to time range instructs, and carries out contextual model adjustment to intelligent home device according to mode adjustment instruction.
For example, preset time range is arranged to 6:00 to 8:00, when collecting audio-frequency information first in the preset time range, then
The contextual model of intelligent electric lamp is switched into Chaoyang pattern, and can be opened with coordinated signals curtain.And for example, by preset time period
It is arranged to 23:00 to 24:00, when collecting audio-frequency information first in the preset time range, then by the scene of intelligent electric lamp
Pattern switching is sunset pattern, and linkage control curtain is closed.
In addition, when acquisition time is not in preset time range, judge that audio-frequency information is not up to the triggering of mode adjustment
Condition, then it can be set as flow and terminate, can also be set as continuing the judgement in other embodiment to audio-frequency information, example
Such as, it can be determined that whether the target voice content of audio-frequency information is more than or equal to similarity with the Similarity value of predetermined voice content
Threshold value, determine whether the trigger condition for reaching mode adjustment；Or judge whether the type of audio-frequency information is pre- attribute
Sound type, the trigger condition for determining whether to reach mode adjustment etc..
As seen from the above-described embodiment, by the judgement of the acquisition time to audio-frequency information, determine whether to meet pattern
The trigger condition of adjustment, and the incidence relation instructed according to preset time period and mode adjustment determines that mode adjustment instructs, so as to
Contextual model adjustment is carried out to intelligent home device according to mode adjustment instruction, realizes the scene of adjust automatically intelligent home device
Pattern, controlled manually without user, improve contextual model regulated efficiency, facility is brought to user.
Corresponding with the embodiment of the contextual model method of adjustment of aforementioned intelligent home equipment, the disclosure additionally provides intelligence
The contextual model adjusting apparatus of home equipment and its embodiment for the terminal applied.
As shown in fig. 6, Fig. 6 is a kind of scene mould of intelligent home device of the disclosure according to an exemplary embodiment
Formula adjusting apparatus block diagram, described device include：Audio-frequency information acquiring unit 610 and contextual model adjustment unit 620.
Wherein, audio-frequency information acquiring unit 610, it is configured as obtaining audio-frequency information.
Contextual model adjustment unit 620, it is configured as the audio-frequency information that the audio-frequency information acquiring unit obtains
When meeting to carry out the trigger condition of mode adjustment, the contextual model of intelligent home device is adjusted to corresponding to the audio-frequency information
Target context pattern.
As seen from the above-described embodiment, by obtaining audio-frequency information, it is determined that audio-frequency information meets to carry out touching for mode adjustment
During clockwork spring part, the contextual model of intelligent home device is adjusted to target context pattern corresponding to audio-frequency information, realized according to sound
The contextual model of frequency information adjust automatically intelligent home device, controls, improves contextual model regulated efficiency manually without user,
Facility is brought to user.
As shown in fig. 7, Fig. 7 is the scene of another intelligent home device of the disclosure according to an exemplary embodiment
Mode adjustment device block diagram, the embodiment is on the basis of foregoing embodiment illustrated in fig. 6, the contextual model adjustment unit 620
Including：Determination subelement 621.
Wherein it is determined that subelement 621, is configured as the audio-frequency information that the audio-frequency information acquiring unit obtains
When target audio feature is with predetermined audio characteristic matching, determine that the audio-frequency information meets the trigger condition for carrying out mode adjustment.
It should be appreciated that determination subelement 621 is one of subelement in contextual model adjustment unit 620, feelings
Scape mode adjustment unit 620 can also include other subelements, for example, it is also possible to including adjusting subelement, be configured as really
When stator unit determines that audio-frequency information meets to carry out the trigger condition of mode adjustment, the contextual model of intelligent home device is adjusted
To target context pattern corresponding to the audio-frequency information.
As seen from the above-described embodiment, the side matched using the target audio feature of audio-frequency information with predetermined audio feature
Formula judges whether audio-frequency information meets the trigger condition for carrying out mode adjustment, so as to accurately whether judge trigger condition
Meet, and then according to the contextual model of audio-frequency information adjust automatically intelligent home device, improve contextual model regulated efficiency.
As shown in figure 8, Fig. 8 is the scene of another intelligent home device of the disclosure according to an exemplary embodiment
Mode adjustment device block diagram, on the basis of foregoing embodiment illustrated in fig. 7, the determination subelement 621 includes the embodiment：The
One determining module 6211.
Wherein, the first determining module 6211, it is configured as the audio letter that the audio-frequency information acquiring unit obtains
When the target voice content of breath is more than or equal to similarity threshold with the Similarity value of predetermined voice content, the audio letter is determined
Breath meets the trigger condition for carrying out mode adjustment.
As seen from the above-described embodiment, by the way that the target voice content in audio-frequency information and predetermined voice content are carried out
Match somebody with somebody, when Similarity value is more than or equal to similarity threshold, determine that audio-frequency information meets the trigger condition for carrying out mode adjustment, and
The contextual model of intelligent home device is adjusted to target context pattern corresponding to audio-frequency information, realized automatic according to voice content
The contextual model of intelligent home device is adjusted, is controlled manually without user, is improved contextual model regulated efficiency, brought to user
Facility.
As shown in figure 9, Fig. 9 is the scene of another intelligent home device of the disclosure according to an exemplary embodiment
Mode adjustment device block diagram, on the basis of foregoing embodiment illustrated in fig. 7, the determination subelement 621 includes the embodiment：The
Two determining modules 6212.
Wherein, the second determining module 6212, it is configured as the audio letter that the audio-frequency information acquiring unit obtains
When the target voice intensity of breath is in default voice strength range, determine that the audio-frequency information meets the triggering for carrying out mode adjustment
Condition.
When it is determined that the target voice intensity of audio-frequency information is in default voice strength range, judgement meets to adjust into row mode
Whole trigger condition, and the contextual model of intelligent home device is adjusted to target context pattern corresponding to audio-frequency information, realize
According to the contextual model of voice intensity adjust automatically intelligent home device, controlled manually without user, improve contextual model tune
Whole efficiency, facility is brought to user.
As shown in Figure 10, Figure 10 is the feelings of another intelligent home device of the disclosure according to an exemplary embodiment
Scape mode adjustment device block diagram, on the basis of foregoing embodiment illustrated in fig. 7, the determination subelement 621 includes the embodiment：
3rd determining module 6213.
Wherein, the 3rd determining module 6213, it is configured as the audio letter that the audio-frequency information acquiring unit obtains
When the type of breath is predetermined voice type, determine that the audio-frequency information meets the trigger condition for carrying out mode adjustment, it is described predetermined
Sound-type comprises at least：Music type.
As seen from the above-described embodiment, when it is determined that the type of audio-frequency information is predetermined voice type, judge to meet to carry out mould
The trigger condition of formula adjustment, and the contextual model of intelligent home device is adjusted to target context pattern corresponding to audio-frequency information,
The contextual model according to audio types adjust automatically intelligent home device is realized, contextual model regulated efficiency is improved, particularly works as
When audio types are music type, the intelligent home device of association is adjusted to the contextual model for being adapted to music automatically, without use
Family is controlled manually, improves contextual model regulated efficiency, and facility is brought to user.
As shown in figure 11, Figure 11 is the feelings of another intelligent home device of the disclosure according to an exemplary embodiment
Scape mode adjustment device block diagram, on the basis of foregoing embodiment illustrated in fig. 7, the determination subelement 621 includes the embodiment：
4th determining module 6214.
Wherein, the 4th determining module 6214, it is configured as the audio letter that the audio-frequency information acquiring unit obtains
When the acquisition time of breath is in the range of the scheduled time, determine that the audio-frequency information meets the trigger condition for carrying out mode adjustment.
When as seen from the above-described embodiment, by determining that the acquisition time of audio-frequency information is in the range of the scheduled time, judge full
Foot carries out the trigger condition of mode adjustment, and the contextual model of intelligent home device is adjusted into target feelings corresponding to audio-frequency information
Scape pattern, the contextual model according to acquisition time adjust automatically intelligent home device is realized, improve contextual model regulated efficiency, give
User brings facility.
As shown in figure 12, Figure 12 is the feelings of another intelligent home device of the disclosure according to an exemplary embodiment
Scape mode adjustment device block diagram, on the basis of foregoing embodiment illustrated in fig. 7, described device also includes the embodiment：Voice is strong
Spend extraction unit 630 and audio feature extraction unit 640.
Wherein, voice intensity extraction unit 630, it is configured as the audio obtained from the audio-frequency information acquiring unit
Voice intensity is extracted in information.
Audio feature extraction unit 640, it is configured as the voice intensity of the voice intensity extraction unit extraction
During more than or equal to the voice intensity threshold, by the target audio feature of the audio-frequency information and the progress of predetermined audio feature
Match somebody with somebody.
As seen from the above-described embodiment, can also be in audio-frequency information before extracting target audio feature from audio-frequency information
Voice intensity judged, when voice intensity reaches voice intensity threshold, it is special that target audio is just extracted from audio-frequency information
Sign, to determine whether user wants to carry out contextual model adjustment to intelligent home device by voice, avoid the situation of erroneous judgement.
As shown in figure 13, Figure 13 is the feelings of another intelligent home device of the disclosure according to an exemplary embodiment
Scape mode adjustment device block diagram, the embodiment is on the basis of foregoing embodiment illustrated in fig. 6, the contextual model adjustment unit
620 include：Instruction obtains subelement 622 and contextual model adjustment subelement 623.
Wherein, instruction obtains subelement 622, is configured as obtaining the audio that the audio-frequency information acquiring unit obtains
Mode adjustment corresponding to information instructs.
Contextual model adjusts subelement 623, is configured as the mode adjustment that the instruction is obtained subelement and obtained
Instruction is sent to the intelligent home device, to cause the intelligent home device to be instructed according to the mode adjustment by scene mould
Formula is adjusted to the target context pattern.
As seen from the above-described embodiment, audio-frequency information is obtained by terminal, meets to carry out touching for mode adjustment in audio-frequency information
During clockwork spring part, mode adjustment instruction corresponding to audio-frequency information is obtained, mode adjustment instruction is sent to the intelligence with terminal association
Home equipment, contextual model is adjusted to the target context pattern so that intelligent home device instructs according to mode adjustment.This
It is open audio-frequency information to be gathered by sound collector intrinsic in terminal, avoid setting sound collection in intelligent home device
The wasting of resources caused by device, and because terminal is apart from distance of the distance typically than intelligent home device apart from user of user
Closely, radio reception effect is good, so as to improve judgment accuracy.
In an optional implementation, the intelligent home device is intelligent electric lamp, and the contextual model includes shadow
Sound pattern, reading model, pattern of receiving a visitor, party pattern, dining pattern, late into the night pattern, sleep pattern, colorful pattern, soft mould
One or more in formula.
As seen from the above-described embodiment, the intelligent home device in the disclosure can be intelligent electric lamp, can pass through the disclosure
The contextual model of intelligent electric lamp is automatically controlled, the regulated efficiency of intelligent electric lamp contextual model is improved, is brought to user
Facility.
Accordingly, the disclosure also provides the contextual model adjusting apparatus of another intelligent home device, and described device includes：
Processor；For storing the memory of processor-executable instruction；Wherein, the processor is configured as：
Obtain audio-frequency information；
The trigger condition for carrying out mode adjustment in response to determining the audio-frequency information to meet, by the scene of intelligent home device
Target context pattern corresponding to mode adjustment to the audio-frequency information.
The function of unit and the implementation process of effect specifically refer to and step are corresponded in the above method in said apparatus
Implementation process, it will not be repeated here.
For device embodiment, because it corresponds essentially to embodiment of the method, so related part is real referring to method
Apply the part explanation of example.Device embodiment described above is only schematical, wherein described be used as separating component
The unit of explanation can be or may not be physically separate, can be as the part that unit is shown or can also
It is not physical location, you can with positioned at a place, or can also be distributed on multiple NEs.Can be according to reality
Need to select some or all of module therein to realize the purpose of disclosure scheme.Those of ordinary skill in the art are not paying
In the case of going out creative work, you can to understand and implement.
As shown in figure 14, Figure 14 is that a kind of according to an exemplary embodiment of the disclosure is used for intelligent home device
One structural representation of contextual model adjusting apparatus 1400.For example, device 1400 can be the mobile phone for having routing function,
Computer, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, individual number
Word assistant etc..
Reference picture 14, device 1400 can include following one or more assemblies：Processing component 1402, memory 1404,
Power supply module 1406, multimedia groupware 1408, audio-frequency assembly 1410, the interface 1412 of input/output (I/O), sensor cluster
1414, and communication component 1416.
The integrated operation of the usual control device 1400 of processing component 1402, such as communicated with display, call, data,
The operation that camera operation and record operation are associated.Processing component 1402 can include one or more processors 1420 to perform
Instruction, to complete all or part of step of above-mentioned method.In addition, processing component 1402 can include one or more moulds
Block, the interaction being easy between processing component 1402 and other assemblies.For example, processing component 1402 can include multi-media module,
To facilitate the interaction between multimedia groupware 1408 and processing component 1402.
Memory 1404 is configured as storing various types of data to support the operation in device 1400.These data
Example includes being used for the instruction of any application program or method operated on device 1400, contact data, telephone book data,
Message, picture, video etc..Memory 1404 can by any kind of volatibility or non-volatile memory device or they
Combination is realized, such as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), it is erasable can
Program read-only memory (EPROM), programmable read only memory (PROM), read-only storage (ROM), magnetic memory, flash memory
Reservoir, disk or CD.
Power supply module 1406 provides electric power for the various assemblies of device 1400.Power supply module 1406 can include power management
System, one or more power supplys, and other components associated with generating, managing and distributing electric power for device 1400.
Multimedia groupware 1408 is included in the screen of one output interface of offer between described device 1400 and user.
In some embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).If screen includes touch panel,
Screen may be implemented as touch-screen, to receive the input signal from user.Touch panel includes one or more touch and passed
Sensor is with the gesture on sensing touch, slip and touch panel.The touch sensor can not only sensing touch or slip be dynamic
The border of work, but also detect the duration and pressure related to the touch or slide.In certain embodiments, it is more
Media component 1408 includes a front camera and/or rear camera.When device 1400 is in operator scheme, mould is such as shot
When formula or video mode, front camera and/or rear camera can receive outside multi-medium data.Each preposition shooting
Head and rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio-frequency assembly 1410 is configured as output and/or input audio signal.For example, audio-frequency assembly 1410 includes a wheat
Gram wind (MIC), when device 1400 is in operator scheme, during such as call model, logging mode and speech recognition mode, microphone quilt
It is configured to receive external audio signal.The audio signal received can be further stored in memory 1404 or via communication
Component 1416 is sent.In certain embodiments, audio-frequency assembly 1410 also includes a loudspeaker, for exports audio signal.
I/O interfaces 1412 provide interface, above-mentioned peripheral interface module between processing component 1402 and peripheral interface module
Can be keyboard, click wheel, button etc..These buttons may include but be not limited to：Home button, volume button, start button and
Locking press button.
Sensor cluster 1414 includes one or more sensors, and the state for providing various aspects for device 1400 is commented
Estimate.For example, sensor cluster 1414 can detect opening/closed mode of device 1400, the relative positioning of component, such as institute
The display and keypad that component is device 1400 are stated, sensor cluster 1414 can be with detection means 1400 or device 1,400 1
The position of individual component changes, the existence or non-existence that user contacts with device 1400, the orientation of device 1400 or acceleration/deceleration and dress
Put 1400 temperature change.Sensor cluster 1414 can include proximity transducer, be configured in no any physics
The presence of object nearby is detected during contact.Sensor cluster 1414 can also include optical sensor, as CMOS or ccd image are sensed
Device, for being used in imaging applications.In certain embodiments, the sensor cluster 1414 can also include acceleration sensing
Device, gyro sensor, Magnetic Sensor, pressure sensor, microwave remote sensor or temperature sensor.
Communication component 1416 is configured to facilitate the communication of wired or wireless way between device 1400 and other equipment.Dress
The wireless network based on communication standard, such as WiFi, 2G or 3G, or combinations thereof can be accessed by putting 1400.It is exemplary at one
In embodiment, communication component 1416 receives broadcast singal or broadcast correlation from external broadcasting management system via broadcast channel
Information.In one exemplary embodiment, the communication component 1416 also includes near-field communication (NFC) module, to promote short distance
Communication.For example, radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra wide band can be based in NFC module
(UWB) technology, bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, device 1400 can be by one or more application specific integrated circuits (ASIC), numeral
Signal processor (DSP), digital signal processing appts (DSPD), PLD (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for performing the above method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided
Such as include the memory 1404 of instruction, above-mentioned instruction can be performed to complete the above method by the processor 1420 of device 1400.Example
Such as, the non-transitorycomputer readable storage medium can be ROM, it is random access memory (RAM), CD-ROM, tape, soft
Disk and optical data storage devices etc..
A kind of non-transitorycomputer readable storage medium, when the instruction in the storage medium is held by the processor of terminal
During row so that terminal is able to carry out a kind of contextual model method of adjustment of intelligent home device, and methods described includes：Obtain audio
Information；The trigger condition for carrying out mode adjustment in response to determining the audio-frequency information to meet, by the scene mould of intelligent home device
Formula is adjusted to target context pattern corresponding to the audio-frequency information.
Those skilled in the art will readily occur to the disclosure its after considering specification and putting into practice invention disclosed herein
Its embodiment.The disclosure is intended to any modification, purposes or the adaptations of the disclosure, these modifications, purposes or
Person's adaptations follow the general principle of the disclosure and including the undocumented common knowledges in the art of the disclosure
Or conventional techniques.Description and embodiments are considered only as exemplary, and the true scope of the disclosure and spirit are by following
Claim is pointed out.
It should be appreciated that the precision architecture that the disclosure is not limited to be described above and is shown in the drawings, and
And various modifications and changes can be being carried out without departing from the scope.The scope of the present disclosure is only limited by appended claim.
Claims (13)
1. the contextual model method of adjustment of a kind of intelligent home device, it is characterised in that methods described includes：
Obtain audio-frequency information；
Target audio feature and predetermined audio characteristic matching in response to determining the audio-frequency information, by the feelings of intelligent home device
Target context pattern corresponding to scape mode adjustment to the audio-frequency information；
Wherein, the target audio feature and predetermined audio characteristic matching in response to determining the audio-frequency information, is comprised at least：
In response to determining the acquisition time of the audio-frequency information in the range of the scheduled time, and determine the target voice of the audio-frequency information
The Similarity value of content and predetermined voice content is more than or equal to similarity threshold, and the predetermined voice content refers to including non-voice
Make the predetermined voice content of type and the predetermined voice content of phonetic order type.
2. according to the method for claim 1, it is characterised in that the target audio in response to determining the audio-frequency information
Feature and predetermined audio characteristic matching, in addition to：
In response to determining the target voice intensity of the audio-frequency information in default voice strength range.
3. according to the method for claim 1, it is characterised in that the non-voice instruction type includes music type.
4. according to the method for claim 1, it is characterised in that be adjusted to the contextual model of intelligent home device described
Before target context pattern corresponding to the audio-frequency information, methods described also includes：
Voice intensity is extracted from the audio-frequency information；
In response to determining that the voice intensity is more than or equal to the voice intensity threshold, by the target audio of the audio-frequency information
Feature is matched with predetermined audio feature.
5. according to the method for claim 1, it is characterised in that described that the contextual model of intelligent home device is adjusted to institute
Target context pattern corresponding to audio-frequency information is stated, including：
Mode adjustment corresponding to the audio-frequency information is obtained to instruct；
Mode adjustment instruction is sent to the intelligent home device, to cause the intelligent home device according to the mould
Formula adjust instruction adjusts contextual model to the target context pattern.
6. according to any described method in claim 1 to 5, it is characterised in that the intelligent home device includes intelligence electricity
Lamp, the contextual model include audio-visual pattern, reading model, pattern of receiving a visitor, party pattern, dining pattern, late into the night pattern, sleep
One or more in pattern, colorful pattern, soft pattern.
7. the contextual model adjusting apparatus of a kind of intelligent home device, it is characterised in that described device includes：
Audio-frequency information acquiring unit, it is configured as obtaining audio-frequency information；
Contextual model adjustment unit, it is configured as the audio-frequency information that the audio-frequency information acquiring unit obtains and meets to carry out
During the trigger condition of mode adjustment, the contextual model of intelligent home device is adjusted to target context corresponding to the audio-frequency information
Pattern；
The contextual model adjustment unit includes：Determination subelement, it is configured as what the audio-frequency information acquiring unit obtained
When the target audio feature of the audio-frequency information is with predetermined audio characteristic matching, determine that the audio-frequency information meets to adjust into row mode
Whole trigger condition；
The determination subelement comprises at least：First determining module, it is configured as what the audio-frequency information acquiring unit obtained
The acquisition time of the audio-frequency information is in the range of the scheduled time and when the audio of audio-frequency information acquiring unit acquisition
When the target voice content of information is more than or equal to similarity threshold with the Similarity value of predetermined voice content, the audio is determined
Information meets the trigger condition for carrying out mode adjustment, and the predetermined voice content is included in the predetermined voice of non-voice instruction type
Hold the predetermined voice content with phonetic order type.
8. device according to claim 7, it is characterised in that the determination subelement also includes：
Second determining module, it is configured as the target language loudness of a sound for the audio-frequency information that the audio-frequency information acquiring unit obtains
When degree is in default voice strength range, determine that the audio-frequency information meets the trigger condition for carrying out mode adjustment.
9. device according to claim 7, it is characterised in that the non-voice instruction type includes music type.
10. device according to claim 7, it is characterised in that described device also includes：
Voice intensity extraction unit, it is configured as extracting language from the audio-frequency information of audio-frequency information acquiring unit acquisition
Loudness of a sound degree；
Audio feature extraction unit, the voice intensity for being configured as the voice intensity extraction unit extraction are more than or waited
When the voice intensity threshold, the target audio feature of the audio-frequency information is matched with predetermined audio feature.
11. device according to claim 7, it is characterised in that the contextual model adjustment unit includes：
Instruction obtains subelement, is configured as obtaining mould corresponding to the audio-frequency information that the audio-frequency information acquiring unit obtains
Formula adjust instruction；
Contextual model adjusts subelement, and the mode adjustment instruction for being configured as obtaining the instruction subelement acquisition is sent
To the intelligent home device, with cause the intelligent home device according to mode adjustment instruction by contextual model adjust to
The target context pattern.
12. according to any described device in claim 7 to 11, it is characterised in that the intelligent home device includes intelligence
Electric light, the contextual model include audio-visual pattern, reading model, pattern of receiving a visitor, party pattern, dining pattern, late into the night pattern, slept
One or more in feel pattern, colorful pattern, soft pattern.
A kind of 13. contextual model adjusting apparatus of intelligent home device, it is characterised in that including：
Processor；
For storing the memory of processor-executable instruction；
Wherein, the processor is configured as：
Obtain audio-frequency information；
Target audio feature and predetermined audio characteristic matching in response to determining the audio-frequency information, by the feelings of intelligent home device
Target context pattern corresponding to scape mode adjustment to the audio-frequency information；
Wherein, the target audio feature and predetermined audio characteristic matching in response to determining the audio-frequency information, is comprised at least：
In response to determining the acquisition time of the audio-frequency information in the range of the scheduled time, and determine the target voice of the audio-frequency information
The Similarity value of content and predetermined voice content is more than or equal to similarity threshold, and the predetermined voice content refers to including non-voice
Make the predetermined voice content of type and the predetermined voice content of phonetic order type.
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Families Citing this family (80)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105577493A (en) * | 2016-01-04 | 2016-05-11 | 青岛海信电器股份有限公司 | Control method and device of smart home devices and system |
| CN105511287A (en) * | 2016-01-27 | 2016-04-20 | 珠海格力电器股份有限公司 | Intelligent household appliance control method, device and system |
| US10095470B2 (en) | 2016-02-22 | 2018-10-09 | Sonos, Inc. | Audio response playback |
| US10509626B2 (en) | 2016-02-22 | 2019-12-17 | Sonos, Inc | Handling of loss of pairing between networked devices |
| US10264030B2 (en) | 2016-02-22 | 2019-04-16 | Sonos, Inc. | Networked microphone device control |
| US9947316B2 (en) | 2016-02-22 | 2018-04-17 | Sonos, Inc. | Voice control of a media playback system |
| US9965247B2 (en) | 2016-02-22 | 2018-05-08 | Sonos, Inc. | Voice controlled media playback system based on user profile |
| US9826306B2 (en) | 2016-02-22 | 2017-11-21 | Sonos, Inc. | Default playback device designation |
| US9978390B2 (en) | 2016-06-09 | 2018-05-22 | Sonos, Inc. | Dynamic player selection for audio signal processing |
| CN106102222A (en) * | 2016-06-19 | 2016-11-09 | 张力 | A kind of method and system being automatically adjusted electric light light |
| US10152969B2 (en) | 2016-07-15 | 2018-12-11 | Sonos, Inc. | Voice detection by multiple devices |
| US10134399B2 (en) | 2016-07-15 | 2018-11-20 | Sonos, Inc. | Contextualization of voice inputs |
| US10115400B2 (en) | 2016-08-05 | 2018-10-30 | Sonos, Inc. | Multiple voice services |
| US9942678B1 (en) | 2016-09-27 | 2018-04-10 | Sonos, Inc. | Audio playback settings for voice interaction |
| US9743204B1 (en) | 2016-09-30 | 2017-08-22 | Sonos, Inc. | Multi-orientation playback device microphones |
| US10181323B2 (en) | 2016-10-19 | 2019-01-15 | Sonos, Inc. | Arbitration-based voice recognition |
| CN106354025A (en) * | 2016-10-31 | 2017-01-25 | 广州华凌制冷设备有限公司 | Intelligent household appliance control method and device based on voice recognition and air conditioner |
| CN106571143B (en) * | 2016-11-04 | 2019-12-06 | 北京小米移动软件有限公司 | control method and device of intelligent equipment |
| CN106504491B (en) * | 2016-11-29 | 2019-08-30 | 芜湖美智空调设备有限公司 | A kind of method and system, household electrical appliance, remote controler controlling household electrical appliances by music |
| CN106814716B (en) * | 2017-01-03 | 2019-11-22 | 芜湖美智空调设备有限公司 | The reserving method and system to link between a kind of household electrical appliances |
| CN107102558B (en) * | 2017-03-20 | 2020-09-01 | 海尔优家智能科技（北京）有限公司 | Equipment control method and device |
| US10475449B2 (en) | 2017-08-07 | 2019-11-12 | Sonos, Inc. | Wake-word detection suppression |
| US10048930B1 (en) | 2017-09-08 | 2018-08-14 | Sonos, Inc. | Dynamic computation of system response volume |
| CN107678330A (en) * | 2017-09-18 | 2018-02-09 | 广东美的制冷设备有限公司 | Terminal control method, device and computer-readable recording medium |
| US10446165B2 (en) | 2017-09-27 | 2019-10-15 | Sonos, Inc. | Robust short-time fourier transform acoustic echo cancellation during audio playback |
| US10621981B2 (en) | 2017-09-28 | 2020-04-14 | Sonos, Inc. | Tone interference cancellation |
| US10482868B2 (en) | 2017-09-28 | 2019-11-19 | Sonos, Inc. | Multi-channel acoustic echo cancellation |
| US10466962B2 (en) | 2017-09-29 | 2019-11-05 | Sonos, Inc. | Media playback system with voice assistance |
| US10880650B2 (en) | 2017-12-10 | 2020-12-29 | Sonos, Inc. | Network microphone devices with automatic do not disturb actuation capabilities |
| US10818290B2 (en) | 2017-12-11 | 2020-10-27 | Sonos, Inc. | Home graph |
| US11836592B2 (en) * | 2017-12-15 | 2023-12-05 | International Business Machines Corporation | Communication model for cognitive systems |
| CN110045618A (en) * | 2018-01-17 | 2019-07-23 | 佛山市顺德区美的电热电器制造有限公司 | Control method, system, server and the computer storage medium of household appliance |
| US11343614B2 (en) | 2018-01-31 | 2022-05-24 | Sonos, Inc. | Device designation of playback and network microphone device arrangements |
| CN108534301A (en) * | 2018-03-29 | 2018-09-14 | 苏州飞仕环境科技有限公司 | A kind of control system and its control method of fresh air system |
| US11175880B2 (en) | 2018-05-10 | 2021-11-16 | Sonos, Inc. | Systems and methods for voice-assisted media content selection |
| US10847178B2 (en) | 2018-05-18 | 2020-11-24 | Sonos, Inc. | Linear filtering for noise-suppressed speech detection |
| US10681460B2 (en) | 2018-06-28 | 2020-06-09 | Sonos, Inc. | Systems and methods for associating playback devices with voice assistant services |
| US11076035B2 (en) | 2018-08-28 | 2021-07-27 | Sonos, Inc. | Do not disturb feature for audio notifications |
| US10461710B1 (en) | 2018-08-28 | 2019-10-29 | Sonos, Inc. | Media playback system with maximum volume setting |
| US10587430B1 (en) | 2018-09-14 | 2020-03-10 | Sonos, Inc. | Networked devices, systems, and methods for associating playback devices based on sound codes |
| CN109298642B (en) * | 2018-09-20 | 2021-08-27 | 三星电子（中国）研发中心 | Method and device for monitoring by adopting intelligent sound box |
| US11024331B2 (en) | 2018-09-21 | 2021-06-01 | Sonos, Inc. | Voice detection optimization using sound metadata |
| US10811015B2 (en) | 2018-09-25 | 2020-10-20 | Sonos, Inc. | Voice detection optimization based on selected voice assistant service |
| US11100923B2 (en) | 2018-09-28 | 2021-08-24 | Sonos, Inc. | Systems and methods for selective wake word detection using neural network models |
| US10692518B2 (en) | 2018-09-29 | 2020-06-23 | Sonos, Inc. | Linear filtering for noise-suppressed speech detection via multiple network microphone devices |
| US11899519B2 (en) | 2018-10-23 | 2024-02-13 | Sonos, Inc. | Multiple stage network microphone device with reduced power consumption and processing load |
| EP3654249A1 (en) | 2018-11-15 | 2020-05-20 | Snips | Dilated convolutions and gating for efficient keyword spotting |
| US11183183B2 (en) | 2018-12-07 | 2021-11-23 | Sonos, Inc. | Systems and methods of operating media playback systems having multiple voice assistant services |
| US11132989B2 (en) | 2018-12-13 | 2021-09-28 | Sonos, Inc. | Networked microphone devices, systems, and methods of localized arbitration |
| US10602268B1 (en) | 2018-12-20 | 2020-03-24 | Sonos, Inc. | Optimization of network microphone devices using noise classification |
| US11315556B2 (en) | 2019-02-08 | 2022-04-26 | Sonos, Inc. | Devices, systems, and methods for distributed voice processing by transmitting sound data associated with a wake word to an appropriate device for identification |
| US10867604B2 (en) | 2019-02-08 | 2020-12-15 | Sonos, Inc. | Devices, systems, and methods for distributed voice processing |
| CN110136677B (en) * | 2019-03-28 | 2022-03-15 | 深圳市芒果未来科技有限公司 | Musical tone control method and related product |
| CN110032081A (en) * | 2019-04-18 | 2019-07-19 | 合肥泛米智能科技有限公司 | A kind of smart home mode triggering method |
| US11120794B2 (en) | 2019-05-03 | 2021-09-14 | Sonos, Inc. | Voice assistant persistence across multiple network microphone devices |
| US11361756B2 (en) | 2019-06-12 | 2022-06-14 | Sonos, Inc. | Conditional wake word eventing based on environment |
| US11200894B2 (en) | 2019-06-12 | 2021-12-14 | Sonos, Inc. | Network microphone device with command keyword eventing |
| US10586540B1 (en) | 2019-06-12 | 2020-03-10 | Sonos, Inc. | Network microphone device with command keyword conditioning |
| CN110308664A (en) * | 2019-06-25 | 2019-10-08 | 珠海格力电器股份有限公司 | Control system, the method, environment electric appliance of environment electric appliance are adjusted based on music type |
| CN110414582B (en) * | 2019-07-21 | 2022-03-08 | 珠海格力电器股份有限公司 | Model training method and device, computing equipment and storage medium |
| US11138969B2 (en) | 2019-07-31 | 2021-10-05 | Sonos, Inc. | Locally distributed keyword detection |
| US11138975B2 (en) | 2019-07-31 | 2021-10-05 | Sonos, Inc. | Locally distributed keyword detection |
| US10871943B1 (en) | 2019-07-31 | 2020-12-22 | Sonos, Inc. | Noise classification for event detection |
| CN112306011A (en) * | 2019-08-01 | 2021-02-02 | 云丁网络技术(北京)有限公司 | Equipment control method and device |
| CN110782889A (en) * | 2019-08-22 | 2020-02-11 | 腾讯科技（深圳）有限公司 | Voice operation method and related equipment |
| CN114556895A (en) * | 2019-10-21 | 2022-05-27 | 宇龙计算机通信科技(深圳)有限公司 | Voice control method, device, terminal and storage medium |
| US11189286B2 (en) | 2019-10-22 | 2021-11-30 | Sonos, Inc. | VAS toggle based on device orientation |
| CN110824940A (en) * | 2019-11-07 | 2020-02-21 | 深圳市欧瑞博科技有限公司 | Method and device for controlling intelligent household equipment, electronic equipment and storage medium |
| CN110958471B (en) * | 2019-11-18 | 2022-08-26 | 北京小米移动软件有限公司 | Environment adjusting method, device and system |
| CN111124238A (en) * | 2019-11-28 | 2020-05-08 | 星络智能科技有限公司 | Storage medium, intelligent panel and timing interaction method thereof |
| US11200900B2 (en) | 2019-12-20 | 2021-12-14 | Sonos, Inc. | Offline voice control |
| US11562740B2 (en) | 2020-01-07 | 2023-01-24 | Sonos, Inc. | Voice verification for media playback |
| US11556307B2 (en) | 2020-01-31 | 2023-01-17 | Sonos, Inc. | Local voice data processing |
| US11308958B2 (en) | 2020-02-07 | 2022-04-19 | Sonos, Inc. | Localized wakeword verification |
| US11727919B2 (en) | 2020-05-20 | 2023-08-15 | Sonos, Inc. | Memory allocation for keyword spotting engines |
| US11482224B2 (en) | 2020-05-20 | 2022-10-25 | Sonos, Inc. | Command keywords with input detection windowing |
| US11308962B2 (en) | 2020-05-20 | 2022-04-19 | Sonos, Inc. | Input detection windowing |
| US11698771B2 (en) | 2020-08-25 | 2023-07-11 | Sonos, Inc. | Vocal guidance engines for playback devices |
| US11984123B2 (en) | 2020-11-12 | 2024-05-14 | Sonos, Inc. | Network device interaction by range |
| US11551700B2 (en) | 2021-01-25 | 2023-01-10 | Sonos, Inc. | Systems and methods for power-efficient keyword detection |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1953519A (en) * | 2005-10-19 | 2007-04-25 | 明基电通股份有限公司 | An AV output regulation system and its method |
| CN201063933Y (en) * | 2007-06-15 | 2008-05-21 | 邹勇 | Audio modulation color lamp controller |
| CN201408365Y (en) * | 2009-04-30 | 2010-02-17 | 林宗德 | Intelligent house sound control device |
| CN202758609U (en) * | 2012-07-27 | 2013-02-27 | 爱卡拉互动媒体股份有限公司 | Voice-controllable song requesting system |
| CN103616876A (en) * | 2013-12-02 | 2014-03-05 | 从兴技术有限公司 | Intelligent home centralized control device and intelligent home contextual model establishing method |
| CN103730116A (en) * | 2014-01-07 | 2014-04-16 | 苏州思必驰信息科技有限公司 | System and method for achieving intelligent home device control on smart watch |
| CN104123940A (en) * | 2014-08-06 | 2014-10-29 | 苏州英纳索智能科技有限公司 | Voice control system and method based on intelligent home system |
-
2015
- 2015-09-18 CN CN201510601126.9A patent/CN105204357B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1953519A (en) * | 2005-10-19 | 2007-04-25 | 明基电通股份有限公司 | An AV output regulation system and its method |
| CN201063933Y (en) * | 2007-06-15 | 2008-05-21 | 邹勇 | Audio modulation color lamp controller |
| CN201408365Y (en) * | 2009-04-30 | 2010-02-17 | 林宗德 | Intelligent house sound control device |
| CN202758609U (en) * | 2012-07-27 | 2013-02-27 | 爱卡拉互动媒体股份有限公司 | Voice-controllable song requesting system |
| CN103616876A (en) * | 2013-12-02 | 2014-03-05 | 从兴技术有限公司 | Intelligent home centralized control device and intelligent home contextual model establishing method |
| CN103730116A (en) * | 2014-01-07 | 2014-04-16 | 苏州思必驰信息科技有限公司 | System and method for achieving intelligent home device control on smart watch |
| CN104123940A (en) * | 2014-08-06 | 2014-10-29 | 苏州英纳索智能科技有限公司 | Voice control system and method based on intelligent home system |
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