CN113266933A - Voice control method of air conditioner and air conditioner - Google Patents
Voice control method of air conditioner and air conditioner Download PDFInfo
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- CN113266933A CN113266933A CN202110565010.XA CN202110565010A CN113266933A CN 113266933 A CN113266933 A CN 113266933A CN 202110565010 A CN202110565010 A CN 202110565010A CN 113266933 A CN113266933 A CN 113266933A
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- 238000000034 method Methods 0.000 title claims abstract description 41
- 230000007613 environmental effect Effects 0.000 claims abstract description 48
- 238000001914 filtration Methods 0.000 claims abstract description 8
- 230000005236 sound signal Effects 0.000 claims description 42
- 238000007664 blowing Methods 0.000 claims description 20
- 238000010411 cooking Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 4
- 238000009434 installation Methods 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- 238000009835 boiling Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
- F24F11/79—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling the direction of the supplied air
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
- F24F2120/12—Position of occupants
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
- F24F2130/40—Noise
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- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention provides a voice control method of an air conditioner and the air conditioner, wherein the voice control method comprises the following steps: acquiring sound information and a working environment sound model; determining environmental noise in the sound information according to the working environment sound model, and filtering the environmental noise to obtain human sound information in the sound information; carrying out semantic recognition on the human voice information, and obtaining an air supply control instruction according to a semantic recognition result; and controlling the air conditioner to adjust the air supply direction according to the air supply control instruction. The voice control method filters the environmental noise through the preset working environment sound model, thereby improving the accuracy of semantic recognition.
Description
Technical Field
The invention relates to the technical field of air conditioners, in particular to a voice control method of an air conditioner and the air conditioner.
Background
At present, some home appliances may operate through voice commands, such as a voice television, a voice microwave oven, and the like. When the household appliances are used by a user, the positions of the household appliances are relatively fixed and the household appliances are close to each other, so that a high voice instruction recognition effect can be achieved.
However, for the voice-controlled household air conditioner, the user's location is random, and the environment of the installation environment is too noisy and has complex sound. At the moment, the voice recognition equipment at the air conditioner end is difficult to capture the voice control instruction of the user, and the far-field pickup and recognition effects of the voice household appliance are greatly reduced. For a use scene with a complex application scene, the recognition effect is different, and the recognition accuracy is reduced, so that the user experience is poor.
Disclosure of Invention
An object of the present invention is to provide a voice control method for an air conditioner and an air conditioner, which can solve any one of the above problems.
A further object of the present invention is to filter ambient noise and improve speech recognition accuracy.
Another further object of the present invention is to provide a noise library for different usage scenarios, so as to provide personalized services for users.
Particularly, the present invention provides a voice control method of an air conditioner, the voice control method comprising:
acquiring sound information and a working environment sound model;
determining environmental noise in the sound information according to the working environment sound model, and filtering the environmental noise to obtain human sound information in the sound information;
carrying out semantic recognition on the human voice information, and obtaining an air supply control instruction according to a semantic recognition result;
and executing the air supply control command.
Further, the step of obtaining the working environment acoustic model comprises:
acquiring environmental information of an operating environment of an indoor unit of an air conditioner;
and determining a target scene corresponding to the environmental information from the preset multiple operation scenes to obtain a working environment sound model of the target scene.
Further, the step of determining the environmental noise in the sound information according to the working environment sound model includes:
and comparing the sound information with the environmental noise stored in the working environment sound model, and determining the environmental noise in the sound information according to the similarity.
Further, the working environment model is obtained through training according to the environmental noise collected in the plurality of scenes.
Further, the step of acquiring the sound information includes:
acquiring a sound signal;
judging whether the loudness of the sound signal is greater than a first preset loudness threshold value or not;
and if so, carrying out data processing on the sound signal to obtain sound information.
Further, the step of obtaining the air supply control instruction according to the semantic recognition result further comprises:
extracting semantic keywords contained in the human voice information;
and determining an air supply control instruction according to the semantic keywords.
Furthermore, the semantic keywords comprise orientation keywords, the semantic keywords contained in the voice information are extracted, and the step of determining the air supply control instruction according to the semantic keywords comprises the following steps:
and extracting the direction keywords contained in the voice information, and determining an air supply control instruction according to the direction keywords, wherein the air supply control instruction comprises a horizontal air supply direction.
Furthermore, the indoor unit of the air conditioner is provided with a first microphone and a second microphone, and the step of determining the horizontal air supply direction according to the direction key words comprises the following steps;
recording a sound signal collected by a first microphone as a first sound signal, and recording a sound signal collected by a second microphone as a second sound signal;
detecting the acquisition time difference of the first sound signal and the second sound signal;
determining the position information of the target user according to the acquired time difference;
and determining the horizontal air supply direction corresponding to the direction key words according to the position information.
Furthermore, the semantic keywords comprise designated keywords, the semantic keywords contained in the voice information are extracted, and the step of determining the air supply control instruction according to the semantic keywords comprises the following steps:
and extracting specified keywords contained in the voice information, and determining an air supply control instruction according to the specified keywords, wherein the air supply control instruction comprises a vertical air supply direction, an air supply temperature and air supply intensity.
The present invention also provides an air conditioner, comprising:
and a controller including a memory and a processor, wherein the memory stores a control program, and the control program is executed by the processor to implement the voice control method of the air conditioner.
The voice control method of the air conditioner determines the environmental noise in the voice information according to the working environment voice model and filters the environmental noise, thereby obtaining the human voice information of the voice information. And the human voice information is subjected to semantic recognition, an air supply control instruction is obtained according to a semantic recognition result, and the air supply direction is adjusted. The voice control method filters the environmental noise through the preset working environment sound model, thereby improving the accuracy of semantic recognition.
Furthermore, the voice control method of the air conditioner matches the sound information with the working environment sound model, thereby judging whether the sound information contains the environmental noise matched with the environmental noise of the working environment sound model. The working environment sound model is a summary of sound signals generated by a user at fixed time intervals in the using process, namely the working environment sound model can be adjusted according to different using scenes of the user, so that the using habits of the user are matched, the accuracy of semantic recognition is further improved, and the using experience of the user is improved.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the invention will be described in detail hereinafter, by way of illustration and not limitation, with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the drawings:
FIG. 1 is a schematic block diagram of an air conditioner according to one embodiment of the present invention;
fig. 2 is a flowchart of a voice control method of an air conditioner according to an embodiment of the present invention;
fig. 3 is a flowchart of a voice control method of an air conditioner according to another embodiment of the present invention;
fig. 4 is a schematic diagram of the division of the working area of the embodiment shown in fig. 2.
Detailed Description
Reference will now be made in detail to the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
Fig. 1 is a schematic block diagram of an air conditioner according to an embodiment of the present invention. Fig. 2 is a voice control method of an air conditioner according to an embodiment of the present invention. The air conditioner 10 includes a voice module 110, a controller 130, and a processor 120. The speech module 110 may include a first microphone 1111, a second microphone, etc. 1112, a noise reduction module 112, and a speech recognition device 113. The air conditioner 10 is provided with a first microphone 1111, a second microphone 1112, a voice recognition device 113, a processor 120, a noise reduction module 112, and a controller 130. The first microphone 1111 and the second microphone 1112 are each configured to detect a sound signal. Speech recognition apparatus 113 is used to perform semantic recognition on the speech signal to obtain the adjustment information. The noise reduction module 112 may be used to reduce noise of the sound information detected by the first microphone 1111 and the second microphone 1112. The processor 120 is configured to calculate a time difference for acquiring the voice signal, and generate location information of the target user with respect to the air conditioner 10 according to the time difference. The controller 130 is used to control the air conditioner 10 to perform the voice control method of the air conditioner as shown in fig. 2.
As shown in fig. 3, the voice control method of the air conditioner of the present embodiment includes the following steps:
s102, sound information and a working environment sound model are obtained.
The indoor unit of the air conditioner is provided with the plurality of microphones, and the voice signals can be obtained through the microphones and then processed by the processor.
And S104, determining the environmental noise in the sound information according to the working environment sound model. The working environment sound model comprises various sounds, such as the sound of a fan, the working sound of a refrigerator compressor and the like, which are generated by household appliances in the daily use process. The sound information includes environmental noise and human voice information. And obtaining the environmental noise in the sound information after obtaining the working environment sound model, thereby filtering the sound. For example, in a kitchen environment, the sound information may include a work operation sound of the range hood, a cooking sound, and a human voice information of the user. After the working environment sound model of the kitchen environment is obtained, the working running sound and the cooking sound of the range hood can be filtered, and therefore the human voice information of the user is obtained.
And S106, filtering the environmental noise. And filtering out the environmental noise according to various sounds stored in the working environment sound model.
And S108, obtaining the voice information in the voice information. And after the environmental noise filtration is finished, the remaining voice information is obtained.
S110, carrying out semantic recognition on the human voice information. The semantic recognition may be recognition of a keyword in the human voice information. The keywords may include orientation keywords and specified keywords. The orientation keywords may include upper, lower, left, right, front, rear, and the like, and the specified keywords may include orientation, avoidance, and the like.
And S112, obtaining an air supply control instruction according to the semantic recognition result. The semantic recognition result may include a plurality of air supply directions or an intended air supply effect, and the information is processed to obtain an air supply control instruction.
And S114, controlling the air conditioner to adjust the air supply direction according to the air supply control instruction.
The voice control method of the air conditioner in the embodiment determines the environmental noise in the sound information according to the working environment sound model, and filters the environmental noise, thereby obtaining the human voice information of the sound information. And the human voice information is subjected to semantic recognition, an air supply control instruction is obtained according to a semantic recognition result, and the air supply direction is adjusted. The voice control method filters the environmental noise through the preset working environment sound model, thereby improving the accuracy of semantic recognition.
Fig. 3 is a flowchart of a voice control method of an air conditioner according to another embodiment of the present invention. As shown in fig. 3, the voice control method in this embodiment includes the following steps:
in step S202, an ambient sound signal is acquired. The ambient sound signal, i.e. the microphone, may capture all sound signals.
Step S204, determining whether the intensity of the ambient sound signal is greater than a first preset loudness threshold. The first loudness threshold may be set to 40-60 decibels, preferably 40 decibels. If yes, go to step S206. If not, the control flow is ended. The environmental sound is processed next step when the acquired sound is larger than a first preset loudness threshold value, the phenomenon that too small sound needs to be subjected to data analysis to increase the workload of a processor is avoided, unnecessary calculation is avoided, and continuous stable operation of the system is guaranteed. If not, the control flow is ended.
Step S206, the audio signal is processed to obtain audio information.
And step S208, acquiring the environment information of the operating environment of the indoor unit of the air conditioner. The environment information may be information of an operation time period, an indoor temperature, an outdoor temperature, an operation environment humidity, and the like of the air conditioner.
Step S210, determining a target scene corresponding to the environmental information from a plurality of preset operation scenes. For example, the operating time period is 7 am, and the working environment sound model includes environmental noises such as air conditioner fan sound, alarm sound, television new sound, refrigerator compressor sound, and the like, and the sounds are all environmental noises when the working environment sound model is adopted. For another example, if the outdoor temperature is detected to be 32 ℃, the operating season is determined to be summer, and the corresponding working environment sound model includes environmental noises such as cicada sound and frog sound. For another example, if the operation time period is detected to be 11:00 noon to 13:00 afternoon and the booming sound of the range hood is detected, the kitchen cooking scene is corresponded.
Step S212, a working environment sound model of the target scene is obtained. The working environment model is obtained through training according to the environmental noises collected in a plurality of scenes. The environmental noise may be a sound signal generated by the air conditioner at a fixed time interval during the operation process, or a sound maintaining the same frequency for a long time. The sound signals generated at fixed intervals comprise alarm sounds at fixed intervals, working noise of the water heater for timing water boiling, mechanical roaring sounds at fixed intervals and other sounds generated at fixed intervals. The sound which maintains the same frequency for a long time can be the sound which is emitted when other electrical appliances work, such as air conditioner fan running sound, refrigerator running sound and the like. In some embodiments, sound signals having a duration greater than a first preset duration threshold may be marked as ambient noise. The first preset duration threshold may be set to 20s-60s, preferably 20 s.
Step S214, comparing the sound information with the environmental noise recorded in the working environment sound model, and determining the environmental noise in the sound information according to the similarity. The environmental noise may be a sound signal generated by the air conditioner at a fixed time interval during the operation process, or a sound maintaining the same frequency for a long time. The sound signals generated at fixed intervals comprise alarm sounds at fixed intervals, working noise of the water heater for timing water boiling, mechanical roaring sounds at fixed intervals and other sounds generated at fixed intervals. The sound which maintains the same frequency for a long time can be the sound generated when other electrical appliances work, such as the sound of an air conditioner fan. And a working environment sound model trained according to the noise, wherein the working model stores sound characteristic information of the environment noise, the sound information is matched with the sound characteristic information, and the more the sound characteristic information is successfully matched, the higher the similarity is, so that the noise contained in the sound information is identified. The noise is identified by the method, the accuracy is high, and the identification speed is high.
And S216, filtering out environmental noise to obtain voice data. For example, in a kitchen cooking scene, the sound signal is matched with a working environment sound model, the obtained booming sound of the range hood and the working sound of the cooking appliance are both environmental noises, and the environmental noises are filtered to obtain human sound information.
Step S220, extracting keywords contained in the voice signal. The keywords include orientation keywords and specified keywords. The keywords include orientation keywords and specified keywords. The orientation keywords may include words containing orientations that are blown left, right, up, down, and so on. The specified keywords may be cold, hot, blowing toward me, avoiding me, etc.
Step S222, determining an air supply control instruction according to the corresponding relation between the key words and the air supply control instruction. The air supply control command can be air blowing to the left, air blowing to the right, air blowing to the near and air blowing to the far.
In step S224, time differences of the plurality of microphones for acquiring the voice signals are detected. The air conditioner is provided with a first microphone and a second microphone. Recording a sound signal collected by a first microphone as a first sound signal, recording a sound signal collected by a second microphone as a second sound signal, and detecting an acquisition time difference between the first sound signal and the second sound signal. The microphones may be provided in two. The first microphone and the second microphone are used for collecting indoor sound information. The first microphone and the second microphone are horizontally arranged on a panel of the indoor unit of the air conditioner.
In step S226, the position information of the target user is determined according to the time difference. In the installation process of the indoor unit of the air conditioner, the installation area of the indoor unit can be converted into position coordinate information and is arranged in the air conditioner controller, so that the working area of the indoor unit of the air conditioner is obtained, and the working area comprises a plurality of pieces of position information. After the voice signal is obtained, the position information corresponding to the user can be determined according to the voice signal, so that the position of the user in the working area can be determined. In the embodiment, two microphones located at different positions are arranged, and due to the difference between the installation positions of the two microphones, when the distances from the sound of the user to the microphones are inconsistent, the same sound information is transmitted to the first microphone and the second microphone, so that a time difference exists, and the time difference between the first sound signal and the second sound signal received by the two microphones can be obtained by analyzing and calculating the first sound signal and the second sound signal received by the two microphones. Since the transmission speed of sound is constant at normal temperature, the path difference between the sound source and the two microphones can be calculated, and the position of the target user can be determined.
In step S228, the air blowing direction corresponding to the air blowing control command is determined based on the position information. And extracting the position keywords such as up, down, left and right in the voice information. For example, the upper part may correspond to an air supply control command for blowing air upward, and the lower part may correspond to an air supply control command for blowing air downward.
As shown in the work area division diagram of fig. 4, a is an air conditioner indoor unit, a target user is located in the Z5 area and sends a "blowing left" voice signal, and at this time, the air conditioner obtains an air supply control command of "blowing left", and then judges according to the location in the Z5 area, so as to obtain an air supply direction of supplying air in the Z4 direction. The air supply direction may include both a horizontal direction and a vertical direction. For example, the user may send "do nothing" in the Z2 area, and the air conditioner may choose to blow upward to avoid the Z2 area based on its Z2 position relative to the air conditioner.
As shown in the work area division diagram of fig. 4, a is an air conditioner indoor unit, a target user is located in the Z5 area and sends a voice signal of "blowing left", at this time, the air conditioner obtains an air supply control command of "supplying left", and then, the air conditioner supplies air to the Z1, Z4 and Z7 areas according to the judgment that the air conditioner is located in the Z5 area. For example, if the target user is located in the Z5 area and sends a "blow right" voice signal, the air conditioner obtains a "blow right" blow command, and determines that the target user is located in the Z5 area, and the air conditioner blows air into the Z3, Z6, and Z9 areas. For example, if the target user is located in the Z5 area and sends a "blow ahead" voice signal, the air conditioner receives a "blow near" blow command, and determines that the target user is located in the Z5 area, and the air conditioner blows air into the Z2 area. For example, if the target user is located in the Z5 area and sends a "blow-back" voice signal, the air conditioner receives a "blow-out to a remote location" blow command, and determines that the target user is located in the Z5 area, and the air conditioner blows air into the Z8 area.
For example, the target user is located in the Z2 area and sends a "blow left" voice signal, and at this time, the air conditioner obtains an air supply control command of "blow left", and then judges according to the fact that the target user is located in the Z2 area, and the air conditioner supplies air to the Z1, Z4 and Z7 areas.
For another example, when the target user is located in the Z1 area and issues a "blow left" voice signal, the air conditioner receives a "blow right" blow control command, and determines that the target user is located in the Z2 area, the air conditioner blows air into the Z2, Z3, Z5, Z6, Z8, and Z9 areas.
In some other embodiments, the blowing control instructions further include blowing up, blowing down, and the like. For example, the user may send "do nothing" in the Z2 zone, and the air conditioner may choose to blow upward to avoid the Z2 zone based on the position of the Z2 zone relative to the air conditioner. In some embodiments, the supply air control instructions further include reducing supply air temperature, increasing supply air temperature, and the like. For example, the user gives "a little cold" in the Z2 area, and the air conditioner can choose to avoid the Z2 area, blow air in the Z1, Z4, Z7, Z3, Z6, and Z9 directions, and increase the blowing air temperature according to the position of the Z2 area relative to the air conditioner.
And step S230, controlling the air conditioner to blow air in the air blowing direction.
The voice control method of the air conditioner in the embodiment determines the environmental noise in the sound information according to the working environment sound model, and filters the environmental noise, thereby obtaining the human voice information of the sound information. And the human voice information is subjected to semantic recognition, an air supply control instruction is obtained according to a semantic recognition result, and the air supply direction is adjusted. The voice control method filters the environmental noise through the preset working environment sound model, thereby improving the accuracy of semantic recognition.
Further, the voice control method of the air conditioner of the embodiment matches the sound information with the working environment sound model, so as to determine whether the sound information contains an environmental noise matched with the environmental noise of the working environment sound model. The working environment sound model is a summary of sound signals generated by a user at fixed time intervals in the using process, namely the working environment sound model can be adjusted according to different using scenes of the user, so that the using habits of the user are matched, the accuracy of semantic recognition is further improved, and the using experience of the user is improved.
Furthermore, in the description of the present embodiments, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature, i.e., one or more such features. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise. When a feature "comprises or comprises" a or some of its intended features, this indicates that other features are not excluded and that other features may be further included, unless expressly stated otherwise.
The first feature may be "on" or "under" the second feature and may include the first and second features being in direct contact, or the first and second features being in contact via another feature not being in direct contact. That is, in the description of the present embodiment, the first feature being "on", "above" and "over" the second feature includes the first feature being directly above and obliquely above the second feature, or merely means that the first feature is higher in level than the second feature. A first feature "under," "beneath," or "beneath" a second feature may be directly under or obliquely under the first feature, or simply mean that the first feature is at a lesser elevation than the second feature.
In the description of the present embodiments, reference to the description of the terms "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Unless otherwise defined, all terms (including technical and scientific terms) used in the description of the present embodiment have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
Thus, it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been illustrated and described in detail herein, many other variations or modifications consistent with the principles of the invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Accordingly, the scope of the invention should be understood and interpreted to cover all such other variations or modifications.
Claims (10)
1. A voice control method of an air conditioner includes:
acquiring sound information and a working environment sound model;
determining environmental noise in the sound information according to the working environment sound model, and filtering the environmental noise to obtain human sound information in the sound information;
carrying out semantic recognition on the voice information, and obtaining an air supply control instruction according to a semantic recognition result;
and executing the air supply control instruction.
2. The voice control method of claim 1, wherein the step of obtaining a working environment acoustic model comprises:
acquiring environment information of the operating environment of the indoor unit of the air conditioner;
and determining a target scene corresponding to the environmental information from a plurality of preset operation scenes to obtain a working environment sound model of the target scene.
3. The speech control method of claim 2 wherein the step of determining the ambient noise in the acoustic information from the operating environment acoustic model comprises:
and comparing the sound information with the environmental noise stored in the working environment sound model, and determining the environmental noise in the sound information according to the similarity.
4. The speech control method of claim 1, wherein the model of the operating environment is trained from ambient noise collected within a plurality of scenes.
5. The voice control method according to claim 1, wherein the step of acquiring sound information includes:
acquiring a sound signal;
judging whether the loudness of the sound signal is greater than a first preset loudness threshold value or not;
and if so, carrying out data processing on the sound signal to obtain sound information.
6. The voice control method according to claim 1, wherein the step of obtaining an air supply control instruction according to the semantic recognition result further comprises:
extracting semantic keywords contained in the voice information;
and determining an air supply control instruction according to the semantic keywords.
7. The voice control method according to claim 6, wherein the semantic keywords include an orientation keyword, the step of extracting the semantic keywords included in the human voice information, and the step of determining the blowing control instruction based on the semantic keywords includes:
and extracting the direction keywords contained in the voice information, and determining an air supply control instruction according to the direction keywords, wherein the air supply control instruction comprises a horizontal air supply direction.
8. The voice control method according to claim 7, wherein the indoor unit of the air conditioner is provided with a first microphone and a second microphone, and the step of determining the horizontal blowing direction according to the orientation keyword includes;
recording a sound signal collected by a first microphone as a first sound signal, and recording a sound signal collected by a second microphone as a second sound signal;
detecting an acquisition time difference between the first sound signal and the second sound signal;
determining the position information of the target user according to the obtained time difference;
and determining the horizontal air supply direction corresponding to the direction key words according to the position information.
9. The voice control method according to claim 6, wherein the semantic keywords include a designated keyword, the step of extracting the semantic keywords included in the human voice information, and the step of determining the blowing control instruction based on the semantic keywords includes:
and extracting specified keywords contained in the voice information, and determining an air supply control instruction according to the specified keywords, wherein the air supply control instruction comprises a vertical air supply direction, an air supply temperature and air supply intensity.
10. An air conditioner comprising:
a controller comprising a memory and a processor, the memory having stored therein a control program for implementing the voice control method of the air conditioner according to any one of claims 1 to 9 when the control program is executed by the processor.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110565010.XA CN113266933A (en) | 2021-05-24 | 2021-05-24 | Voice control method of air conditioner and air conditioner |
| PCT/CN2021/139198 WO2022247244A1 (en) | 2021-05-24 | 2021-12-17 | Voice control method for air conditioner, and air conditioner |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110565010.XA CN113266933A (en) | 2021-05-24 | 2021-05-24 | Voice control method of air conditioner and air conditioner |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2022247244A1 (en) * | 2021-05-24 | 2022-12-01 | 青岛海尔空调器有限总公司 | Voice control method for air conditioner, and air conditioner |
| CN115930374A (en) * | 2022-11-16 | 2023-04-07 | 宁波奥克斯电气股份有限公司 | Method and device for preventing outdoor noise from being controlled by mistake and air conditioner |
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| CN115930374A (en) * | 2022-11-16 | 2023-04-07 | 宁波奥克斯电气股份有限公司 | Method and device for preventing outdoor noise from being controlled by mistake and air conditioner |
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| WO2022247244A1 (en) | 2022-12-01 |
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