CN105511857A - System language setting method and device - Google Patents
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Abstract
The invention discloses a system language setting method and device, and belongs to the field of language processing. The system language setting method comprises steps of acquiring voice information; carrying out language identification to the voice information, and determining the language kind corresponding to the voice information; and switching the system language of an intelligent device to a language corresponding to the obtained language kind. According to the invention, a microphone of the intelligent device is employed to acquire and identify the voice information to determine the language kind corresponding to the voice information;, and the system language of the intelligent device is switched to the language corresponding to the obtained language kind, the intelligent device can directly switch the system language in dependence on the voice information obtained by the microphone, and therefore the problem that the manner of obtaining the language by means of SIM card information is not accurate is solved, and the effect that the intelligent device switches the system language in dependence on the user's actual language usage case, and the switching accuracy of the system language of the intelligent device is improved is achieved.
Description
Technical field
The disclosure relates to Language Processing field, particularly a kind of system language method to set up and device.
Background technology
Along with popularizing of smart mobile phone, mobile phone finds a good sale in abroad by more manufacturer, and in order to meet the language needs of every country user, smart mobile phone supports multilingual usually.When user buys a foreign made mobile phone, need cell-phone language to be arranged to mother tongue.
When arranging cell-phone language, common method judges that the region attribute of SIM card selects native language according to the SIM card inserted.Such as obtain the country code in SIM card, read the national information corresponding with country code, after finding the application program of mother tongue, this application program is installed.
This SIM card information that utilizes is very inaccurate in the mode obtaining language, such as, when user does not insert SIM card, then cannot get corresponding language; Also such as, when national information and language do not mate one by one, corresponding language can not be identified exactly.
Summary of the invention
Utilize SIM card information to the mode obtaining language not problem very accurately to solve, the disclosure provides a kind of system language method to set up and device.Described technical scheme is as follows:
According to the first aspect of disclosure embodiment, provide a kind of system language method to set up, be applied in smart machine, described method comprises:
Gather voice messaging;
Speech recognition is carried out to described voice messaging, determines the category of language corresponding with described voice messaging;
The system language of described smart machine is switched to the language that the described category of language that gets is corresponding.
The system language method to set up that first aspect of the present disclosure provides, by utilizing the microphone collection of smart machine and identifying voice messaging, determine the category of language corresponding with this voice messaging, and the language being switched to by the system language of this smart machine the category of language that gets corresponding; Due to the direct switched system language of voice messaging that smart machine can obtain according to microphone, therefore solve and utilize SIM card information to the mode obtaining language not problem very accurately; Reach the practical language service condition switched system language of smart machine according to user, improve the effect that smart machine system language switches accuracy rate.
Optionally, the described microphone of described smart machine that utilizes gathers voice messaging, comprising:
After receiving the confirmation instruction being used to indicate and confirming to change system language, detect whether receive recording start signal;
If receive described recording start signal, then open the sound-recording function of microphone;
Utilize the described voice messaging that described microphone collection user inputs.
The optional system language method to set up that disclosure first aspect provides, by after receiving the confirmation instruction being used to indicate and confirming to change system language, the typing of voice messaging is carried out by the sound-recording function of the manually opened microphone of user, avoid the typing because carrying out voice messaging when user is in comparatively noisy environment, the voice messaging quality causing smart machine to gather is not good.
Optionally, whether described detection receives recording start signal, comprising:
Detect predetermined key whether to be triggered according to predetermined way;
When described predetermined key is triggered according to described predetermined way, judge to receive described recording start signal.
Whether the optional system language method to set up that disclosure first aspect provides, detect predetermined key by smart machine and be triggered according to predetermined way, determine whether it has received recording start signal, to avoid the maloperation of user.
Optionally, described speech recognition is carried out to described voice messaging, determines the category of language corresponding with described voice messaging, comprising:
Carry out languages identification to described voice messaging, determine the category of language corresponding to described voice messaging, described languages are languages that user is using during voice messaging described in typing; Or,
Calculate the matching degree between described voice messaging and each sample voice information prestored, described sample voice information is the voice with predetermined content utilizing corresponding language to record; Obtain out the sample voice information that matching degree reaches predetermined threshold; The category of language corresponding with described voice messaging is defined as by with the category of language that described matching degree reaches the sample voice information of predetermined threshold corresponding.
The optional system language method to set up that disclosure first aspect provides, by directly carrying out languages identification to obtained voice messaging and the matching degree two kinds of methods calculated between voice messaging and each sample voice information prestored identify voice messaging, improve the accuracy rate of smart machine identifiable language information.
Optionally, the language that the described system language by described smart machine switches to described category of language corresponding, comprising:
Prompting user whether switched system language;
After receiving the confirmation switching command being used to indicate and allowing switched system language, described system language is switched to the language that the described category of language that gets is corresponding.
The optional system language method to set up that disclosure first aspect provides, by prompting user whether switched system language, whether judge language corresponding to category of language that smart machine will switch voluntarily accurately and switched system language by user, prevent smart machine from carrying out mistake switching to the system language of identification error.
Optionally, described method also comprises:
After receiving the confirmation switching command being used to indicate refusal switched system language, described system language is remained the language of Default Value.
The optional system language method to set up that disclosure first aspect provides, by being determined whether switched system language by user, makes smart machine switched system language humanized.
According to the second aspect of disclosure embodiment, provide a kind of system language setting device, be applied in smart machine, described device comprises:
Acquisition module, is configured to gather voice messaging;
Determination module, the voice messaging be configured to described acquisition module collects carries out speech recognition, determines the category of language corresponding with described voice messaging;
Handover module, the language that the described category of language being configured to the system language of described smart machine to switch to described determination module to get is corresponding.
The system language setting device that second aspect of the present disclosure provides, by utilizing the microphone collection of smart machine and identifying voice messaging, determine the category of language corresponding with this voice messaging, and the language being switched to by the system language of this smart machine the category of language that gets corresponding; Due to the direct switched system language of voice messaging that smart machine can obtain according to microphone, therefore solve and utilize SIM card information to the mode obtaining language not problem very accurately; Reach the practical language service condition switched system language of smart machine according to user, improve the effect that smart machine system language switches accuracy rate.
Optionally, described acquisition module, comprising:
First detection sub-module, is configured to, after receiving the confirmation instruction being used to indicate and confirming to change system language, to detect whether receive recording start signal;
Opening submodule, being configured to, when receiving described recording start signal, open the sound-recording function of described microphone;
Gather submodule, be configured to the described voice messaging utilizing described microphone collection user to input.
The optional system language setting device that disclosure second aspect provides, by after receiving the confirmation instruction being used to indicate and confirming to change system language, the typing of voice messaging is carried out by the sound-recording function of the manually opened microphone of user, avoid because user is in the typing that comparatively noisy environment temporarily cannot carry out voice messaging, the voice messaging quality causing smart machine to gather is not good.
Optionally, described first detection sub-module, comprising:
Whether the second detection sub-module, be configured to detect predetermined key and be triggered according to predetermined way;
Decision sub-module, is configured to when described predetermined key is triggered according to described predetermined way, judges to receive described recording start signal.
Whether the optional system language setting device that disclosure second aspect provides, detect predetermined key by smart machine and be triggered according to predetermined way, determine whether it has received recording start signal, to avoid the maloperation of user.
Optionally, described determination module, comprising:
First obtains submodule, and be configured to carry out languages identification to described voice messaging, determine the category of language corresponding to described voice messaging, described languages are languages that user is using during voice messaging described in typing; Or,
Second obtains submodule, and be configured to calculate the matching degree between described voice messaging and each sample voice information prestored, described sample voice information is the voice with predetermined content utilizing corresponding language to record; Obtain out the sample voice information that matching degree reaches predetermined threshold; The category of language corresponding with described voice messaging is defined as by with the language that described matching degree reaches the sample voice kind of information of predetermined threshold corresponding.
The optional system language setting device that disclosure second aspect provides, by directly carrying out languages identification to obtained voice messaging and the matching degree two kinds of methods calculated between voice messaging and each sample voice information prestored identify voice messaging, improve the accuracy rate of smart machine identifiable language information.
Optionally, described handover module, comprising:
Prompting submodule, is configured to prompting user whether switched system language;
Switching submodule, is configured to after receiving the confirmation switching command being used to indicate and allowing switched system language, described system language is switched to the language that the described category of language that gets is corresponding.
The optional system language setting device that disclosure second aspect provides, by prompting user whether switched system language, whether judge language corresponding to category of language that smart machine will switch voluntarily accurately and switched system language by user, prevent smart machine from carrying out mistake switching to the system language of identification error.
Optionally, it is characterized in that, described device also comprises:
Keep module, be configured to, after receiving the confirmation switching command being used to indicate refusal switched system language, described system language be remained the language of Default Value.
The optional system language setting device that disclosure second aspect provides, by being determined whether switched system language by user, makes smart machine switched system language humanized.
According to the third aspect of disclosure embodiment, provide a kind of system language setting device, described device comprises:
Processor;
For storing the storer of described processor executable;
Wherein, described processor is configured to:
The microphone of described smart machine is utilized to gather voice messaging;
Speech recognition is carried out to described voice messaging, determines the category of language corresponding with described voice messaging;
The system language of described smart machine is switched to the language that the described category of language that gets is corresponding.
The system language setting device that the third aspect of the present disclosure provides, by utilizing the microphone collection of smart machine and identifying voice messaging, determine the category of language corresponding with this voice messaging, and the language being switched to by the system language of this smart machine the category of language that gets corresponding; Due to the direct switched system language of voice messaging that smart machine can obtain according to microphone, therefore solve and utilize SIM card information to the mode obtaining language not problem very accurately; Reach the practical language service condition switched system language of smart machine according to user, improve the effect that smart machine system language switches accuracy rate.
Should be understood that, it is only exemplary that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in instructions and to form the part of this instructions, shows and meets embodiment of the present disclosure, and is used from instructions one and explains principle of the present disclosure.
Fig. 1 is the process flow diagram of a kind of system language method to set up according to an exemplary embodiment;
Fig. 2 A is the process flow diagram of a kind of system language method to set up according to another exemplary embodiment;
Fig. 2 B is the process flow diagram whether detection according to an exemplary embodiment receives recording start signal method;
Fig. 2 C is the process flow diagram whether detection according to an exemplary embodiment receives recording start signal method;
Fig. 2 D is process flow diagram voice messaging being carried out to Language Identification according to an exemplary embodiment;
Fig. 2 E is the process flow diagram of linguistic method corresponding to category of language that being switched to by the system language of smart machine according to an exemplary embodiment gets;
Fig. 2 F is the schematic diagram at the system language switch prompting interface according to an exemplary embodiment;
Fig. 3 A is the block diagram of a kind of system language setting device according to an exemplary embodiment;
Fig. 3 B is the block diagram of a kind of system language setting device according to another exemplary embodiment;
Fig. 4 is a kind of block diagram for arranging system language according to an exemplary embodiment.
Embodiment
Here will be described exemplary embodiment in detail, its sample table shows in the accompanying drawings.When description below relates to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawing represents same or analogous key element.Embodiment described in following exemplary embodiment does not represent all embodiments consistent with the disclosure.On the contrary, they only with as in appended claims describe in detail, the example of apparatus and method that aspects more of the present disclosure are consistent.
Fig. 1 is the process flow diagram of a kind of system language method to set up according to an exemplary embodiment, and as shown in Figure 1, this system language method to set up comprises the following steps.
In a step 101, voice messaging is gathered.
In a step 102, speech recognition is carried out to voice messaging, determine the category of language corresponding with this voice messaging.
In step 103, the language being switched to by the system language of smart machine the category of language that gets corresponding.
In sum, the system language method to set up provided in disclosure embodiment, by utilizing the microphone collection of smart machine and identifying voice messaging, determine the category of language corresponding with this voice messaging, and the language being switched to by the system language of this smart machine the category of language that gets corresponding; Due to the direct switched system language of voice messaging that smart machine can obtain according to microphone, therefore solve and utilize SIM card information to the mode obtaining language not problem very accurately; Reach the practical language service condition switched system language of smart machine according to user, improve the effect that smart machine system language switches accuracy rate.
Fig. 2 A is the process flow diagram of a kind of system language method to set up according to another exemplary embodiment, and as shown in Figure 2 A, this system language method to set up comprises the following steps.
In step 201, voice messaging is gathered.
Usually, smart machine can utilize microphone that voice signal is converted to electric signal, to realize the function gathering voice messaging.When actual realization, smart machine can detect whether receive recording start signal, if receive recording start signal, then opens the sound-recording function of microphone, utilizes microphone to gather voice messaging.Fig. 2 B is that the microphone of smart machine that utilizes according to an exemplary embodiment gathers the process flow diagram of voice messaging method, and as shown in Figure 2 B, this utilizes the microphone of smart machine to gather voice messaging method and can be realized by following step 201a to step 201c.
In step 201a, after receiving the confirmation instruction being used to indicate and confirming to change system language, detect whether receive recording start signal.
When occurring that smart machine is started shooting first, after smart machine initialization and user enters the situations such as the system language interface switching of smart machine time, smart machine can change interface by display system language in screen, is operated by user.After smart machine receives the confirmation instruction being used to indicate and confirming to change system language, can continue to detect whether receive recording start signal.Fig. 2 C is the process flow diagram whether detection according to an exemplary embodiment receives recording start signal method, and as shown in Figure 2 C, whether this detection receives recording start signal method can be realized by following step 201a1 to step 201a2.
In step 201a1, detect predetermined key and whether be triggered according to predetermined way.
Here said predetermined key can be power key, key, treat switch, volume key etc.Here said predetermined way can for long by, click, double-click etc.
It should be noted that, predetermined key can have multiple, and the form that the scheduled mode of predetermined key triggers can have multiple, and the present embodiment does not limit the form that the scheduled mode of predetermined key triggers.
In step 201a2, when predetermined key is triggered according to predetermined way, judge to receive recording start signal.
Such as, the power key that smart machine presets on keypad is clicked, then judge to receive recording start signal.Predetermined key mentioned here is " power key ", and predetermined way mentioned here is " clicking ".
In step 201b, if receive recording start signal, then open the sound-recording function of microphone.
In order to avoid carrying out the typing of voice messaging when being in comparatively noisy environment because of user, the voice messaging quality causing smart machine to gather is not good.After smart machine receives the confirmation instruction being used to indicate and confirming to change system language, can continue to detect whether receive recording start signal, if smart machine receives recording start signal, then open the sound-recording function of microphone.Such as, when user enters the system language interface switching of smart mobile phone, now user may be in comparatively noisy environment, when user move to comparatively quietly environment time, predetermined key can be triggered by predetermined way, open the microphone location function of intelligent terminal, gathered the voice messaging of user's input by microphone.
In step 201c, utilize the voice messaging that microphone collection user inputs.
After the microphone location function of intelligent terminal is unlocked, the voice messaging that intelligent terminal can utilize microphone collection user to input, after collected voice messaging is converted to electric signal by voice signal, carries out speech recognition to the voice messaging after conversion.
In step 202., speech recognition is carried out to voice messaging, determine the category of language corresponding with this voice messaging.
Category of language mentioned here refers to the category of language that the crowd of country variant uses, and the language corresponding to category of language refers to and utilizes a certain languages to carry out the statement exchanged.Such as: Chinese use Chinese, greet and like with " hello ", category of language so is here " Chinese ", and the corresponding language message of this category of language is " hello ".
After smart machine to collect the voice messaging of user's input by microphone, smart machine can identify this voice signal, and obtains the category of language corresponding with this voice messaging.When actual realization, intelligent terminal can be adopted and carry out speech recognition in two ways, the first language message inputted for not limited subscriber, directly speech recognition is carried out to the language message of user's input, determine the category of language corresponding with this voice messaging, the language message that the second inputs for limited subscriber, carries out speech recognition according to the matching degree between each sample voice information that voice messaging and the intelligent terminal of user's input prestore, determines the category of language corresponding with this voice messaging.
Fig. 2 D is process flow diagram voice messaging being carried out to Language Identification according to an exemplary embodiment, and as shown in Figure 2 D, this carries out Language Identification to voice messaging and can be realized by following step 202a.
In step 202a, carry out languages identification to voice messaging, determine the category of language corresponding to this voice messaging, these languages are languages that user uses when this voice messaging of typing.
After the microphone location function of smart machine is opened, user can say any word and statement etc. facing to this microphone, intelligent terminal then directly can carry out languages identification according to the voice messaging collected, determine the languages that this user uses when this voice messaging of typing, and these languages are defined as the language corresponding with this voice messaging.Such as, user says " today is fine day " facing to the microphone of smart machine, and smart machine then directly can carry out languages identification to " today is fine day " that collect, and these languages are defined as Chinese.When carrying out languages identification, no matter what the content of user's typing is, the category of language that voice messaging that user uses when typing content is corresponding all can be identified.
Still see Fig. 2 D, this carries out Language Identification to voice messaging and can also be realized by following step 202b to step 202d.
In step 202b, calculate the matching degree between voice messaging and each sample voice information prestored, this sample voice information is the voice with predetermined content utilizing corresponding language to record.
When the operand of the processor of smart machine is limited, smart machine can preset the sample voice information of several country before dispatching from the factory for same content, such as, the preset content of a certain intelligent terminal is " hello ", so for the sample voice information of " hello " can be respectively " hello " (Chinese), " Hello " (English), " こ ん To Chi は " (Japanese),
(Korean), " Bonjour " (French) etc.
It should be noted that this preset content can show by producer in instructions, packing box, advertisement information etc., be convenient to user predict before typing voice messaging want the content of typing, improve Consumer's Experience.
In step 202c, obtain out the sample voice information that matching degree reaches predetermined threshold.
In step 202d, the category of language this matching degree being reached the sample voice information of predetermined threshold corresponding is defined as the category of language corresponding with this voice messaging.
After smart machine collects language message, this language message can be mated with the sample language message preset by smart machine, when language message reaches predetermined threshold with the matching degree of a certain sample language message preset, illustrate that the language corresponding to this language message is the language of this sample language message.
In a kind of possible mode, after smart machine collects language message, obtain out the sample voice information that matching degree is maximum, the language corresponding with this sample voice information is defined as the language corresponding with this voice messaging.
In the mode that another kind is possible, after smart machine collects language message, obtain out matching degree and reach predetermined threshold and the maximum sample voice information of matching degree, the language corresponding with this sample voice information is defined as the language corresponding with this voice messaging.
Such as, the preset content of a certain intelligent terminal is " hello ", and recorded Chinese, English, French three kinds of sample voice information, if predetermined threshold is 90%.So, as user's typing " Hello ", " Hello " mates with sample voice information by this intelligent terminal, detect that " Hello " is 95% with the matching degree of the sample voice information of English, being 45% with the matching degree of the sample voice information of French, is 5% with the matching degree of the sample voice information of Chinese.Because " Hello " and the matching degree of the sample voice information of English are greater than predetermined threshold (95%>90%), and " Hello " is maximum with the matching degree of the sample voice information of English, therefore, English is defined as the language corresponding with " Hello " by intelligent terminal.
For another example, the preset content of a certain intelligent terminal is " hello ", and recorded Chinese, English, French three kinds of sample voice information, if predetermined threshold is 90%.So, when user's typing " China ", " China " mates with sample voice information by this intelligent terminal, detect that " China " is 65% with the matching degree of the sample voice information of Chinese, being 15% with the matching degree of the sample voice information of English, is 5% with the matching degree of the sample voice information of French.Because " China " and the matching degree of arbitrary sample voice information are all less than predetermined threshold, therefore, intelligent terminal will not carry out next step and confirm operation, and point out user to re-start the typing of voice messaging.
In step 203, the language being switched to by the system language of smart machine the category of language that gets corresponding.
After the language corresponding with sample voice information is defined as the language corresponding with the voice messaging of user's typing by smart machine, the language that the category of language that system language will be switched to this sample voice information corresponding is corresponding.Fig. 2 E is the process flow diagram of linguistic method corresponding to category of language that being switched to by the system language of smart machine according to an exemplary embodiment gets, as shown in Figure 2 E, this linguistic method being switched to by system language of smart machine the category of language that gets corresponding can be realized by following step 203a to step 203b.
In step 203, user is pointed out whether switched system language.
In step 203b, after receiving the confirmation switching command being used to indicate and allowing switched system language, this system language is switched to the language that the category of language that gets is corresponding.
After the language corresponding with sample voice information is defined as the language corresponding with the voice messaging of user's typing by smart machine, user can be pointed out whether switched system language by screen output information, whether switched system language is selected by user, and after receiving the confirmation switching command being used to indicate and allowing switched system language, this system language is switched to the language corresponding with the speech category of user's typing got.
In step 204, after receiving the confirmation switching command being used to indicate refusal switched system language, this system language is remained the language of Default Value.
Fig. 2 F is the schematic diagram at the system language switch prompting interface according to an exemplary embodiment, and as shown in Figure 2 F, when user selects " confirmation " control in system language switch prompting interface, system language is then switched to Chinese by smart machine.When user selects " cancellation " control in system language switch prompting interface, smart machine does not then switch system language, remains the language of Default Value.
Preferably, the word shown in system language switch prompting interface language used is the language corresponding with the voice messaging of user's typing that intelligent terminal gets.
In sum, the system language method to set up provided in disclosure embodiment, by utilizing the microphone collection of smart machine and identifying voice messaging, determine the category of language corresponding with this voice messaging, and the language being switched to by the system language of this smart machine the category of language that gets corresponding; Due to the direct switched system language of voice messaging that smart machine can obtain according to microphone, therefore solve and utilize SIM card information to the mode obtaining language not problem very accurately; Reach the practical language service condition switched system language of smart machine according to user, improve the effect that smart machine system language switches accuracy rate.
In the present embodiment, by after receiving the confirmation instruction being used to indicate and confirming to change system language, the typing of voice messaging is carried out by the sound-recording function of the manually opened microphone of user, avoid the typing because carrying out voice messaging when user is in comparatively noisy environment, the voice messaging quality causing smart machine to gather is not good.
In the present embodiment, by directly carrying out languages identification to obtained voice messaging and the matching degree two kinds of methods calculated between voice messaging and each sample voice information prestored identify voice messaging, improve the accuracy rate of smart machine identifiable language information.
In the present embodiment, by prompting user whether switched system language, whether judge language corresponding to category of language that smart machine will switch voluntarily accurately and switched system language by user, prevent smart machine from carrying out mistake switching to the system language of identification error.
Following is disclosure device embodiment, may be used for performing disclosure embodiment of the method.For the details do not disclosed in disclosure device embodiment, please refer to disclosure embodiment of the method.
Fig. 3 A is the block diagram of a kind of system language setting device according to an exemplary embodiment, and as shown in Figure 3A, this system language setting device includes but not limited to: acquisition module 301, determination module 302 and handover module 303.
Acquisition module 301, is configured to gather voice messaging.
Usually, voice signal can be converted to electric signal by microphone, to realize the function gathering voice messaging.When actual realization, smart machine can detect whether receive recording start signal, if receive recording start signal, then opens the sound-recording function of microphone, utilizes microphone to gather voice messaging.
Determination module 302, the voice messaging be configured to this acquisition module 301 collects carries out speech recognition, determines the category of language corresponding with this voice messaging.
Category of language mentioned here refers to the category of language that the crowd of country variant uses, and the language corresponding to category of language refers to and utilizes a certain languages to carry out the statement exchanged.Such as: Chinese use Chinese, greet and like with " hello ", category of language so is here " Chinese ", and the corresponding language message of this category of language is " hello ".
After smart machine to collect the voice messaging of user's input by microphone, smart machine can identify this voice signal, and obtains the category of language corresponding with this voice messaging.When actual realization, intelligent terminal can be adopted and carry out speech recognition in two ways, the first language message inputted for not limited subscriber, directly languages identification is carried out to the language message of user's input, determine the category of language corresponding with this voice messaging, the language message that the second inputs for limited subscriber, carries out languages identification according to the matching degree between each sample voice information that voice messaging and the intelligent terminal of user's input prestore, determines the category of language corresponding with this voice messaging.
Handover module 303, the language that the category of language being configured to the system language of smart machine to switch to this determination module 302 to get is corresponding.
After the language corresponding with sample voice information is defined as the language corresponding with the voice messaging of user's typing by smart machine, the language that the category of language that system language will be switched to this sample voice information corresponding is corresponding.
In a kind of possible implementation, Fig. 3 B is the block diagram of a kind of system language setting device according to another exemplary embodiment, as shown in Figure 3 B, this acquisition module 301 comprises: the first detection sub-module 301a, unlatching submodule 301b and collection submodule 301c.
First detection sub-module 301a, is configured to, after receiving the confirmation instruction being used to indicate and confirming to change system language, to detect whether receive recording start signal.
When occurring that smart machine is started shooting first, after smart machine initialization and user enters the situations such as the system language interface switching of smart machine time, smart machine can change interface by display system language in screen, is operated by user.After smart machine receives the confirmation instruction being used to indicate and confirming to change system language, can continue to detect whether receive recording start signal.
Opening submodule 301b, being configured to, when receiving recording start signal, open the sound-recording function of microphone.
In order to avoid carrying out the typing of voice messaging when being in comparatively noisy environment because of user, the voice messaging quality causing smart machine to gather is not good.After smart machine receives the confirmation instruction being used to indicate and confirming to change system language, can continue to detect whether receive recording start signal, only receive recording start signal, smart machine just opens the sound-recording function of microphone.Such as, when user enters the system language interface switching of smart mobile phone, now user may be in comparatively noisy environment, when user move to comparatively quietly environment time, predetermined key can be triggered by predetermined way, open the microphone location function of intelligent terminal, gathered the voice messaging of user's input by microphone.
Gather submodule 301c, be configured to the voice messaging utilizing microphone collection user to input.
After the microphone location function of intelligent terminal is unlocked, the voice messaging that intelligent terminal can utilize microphone collection user to input, after collected voice messaging is converted to electric signal by voice signal, carries out speech recognition to the voice messaging after conversion.
In a kind of possible implementation, still see Fig. 3 B, this first detection sub-module 301a, comprising: the second detection sub-module 301a1 and decision sub-module 301a2.
Whether the second detection sub-module 301a1, be configured to detect predetermined key and be triggered according to predetermined way.
Decision sub-module 301a2, is configured to when predetermined key is triggered according to predetermined way, judges to receive recording start signal.
Such as, the power key that smart machine presets on keypad is clicked, then judge to receive recording start signal.Predetermined key mentioned here is " power key ", and predetermined way mentioned here is " clicking ".
It should be noted that, the form that the scheduled mode of predetermined key triggers can have multiple, and the present embodiment does not limit the form that the scheduled mode of predetermined key triggers.
In a kind of possible implementation, still see Fig. 3 B, this determination module 302 comprises: first obtains submodule 302a, second obtains submodule 302b, the 3rd acquisition submodule 302c and determines submodule 302d.
First obtains submodule 302a, and be configured to carry out languages identification to voice messaging, determine the category of language corresponding with this voice messaging, these languages are languages that user uses when this voice messaging of typing.
After the microphone location function of smart machine is opened, user can say any word and statement etc. facing to this microphone, intelligent terminal then directly can carry out languages identification according to the voice messaging collected, determine the languages that this user uses when this voice messaging of typing, and these languages are defined as the language corresponding with this voice messaging.Such as, user says " today is fine day " facing to the microphone of smart machine, and smart machine then directly can carry out languages identification to " today is fine day " that collect, and these languages are defined as Chinese.When carrying out languages identification, no matter what the content of user's typing is, the category of language that voice messaging that user uses when typing content is corresponding all can be identified.
Second obtains submodule 302b, and be configured to calculate the matching degree between voice messaging and each sample voice information prestored, this sample voice information is the voice with predetermined content utilizing corresponding language to record.
When the operand of the processor of smart machine is limited, smart machine can preset the sample voice information of several country before dispatching from the factory for same content, such as, the preset content of a certain intelligent terminal is " hello ", so for the sample voice information of " hello " can be respectively " hello " (Chinese), " Hello " (English), " こ ん To Chi は " (Japanese),
(Korean), " Bonjour " (French) etc.
It should be noted that this preset content can show by producer in instructions, packing box, advertisement information etc., be convenient to user predict before typing voice messaging want the content of typing, improve Consumer's Experience.
3rd obtains submodule 302c, is configured to obtain out the sample voice information that matching degree is greater than predetermined threshold.
Determine submodule 302d, be configured to be defined as the category of language corresponding with this voice messaging by with the category of language that this matching degree reaches the sample voice information of predetermined threshold corresponding.
After smart machine collects language message, this language message can be mated with the sample language message preset by smart machine, when language message reaches predetermined threshold with the matching degree of a certain sample language message preset, illustrate that the language corresponding to this language message is the language of this sample language message.
In a kind of possible mode, after smart machine collects language message, obtain out the sample voice information that matching degree is maximum, the language corresponding with this sample voice information is defined as the language corresponding with this voice messaging.
In the mode that another kind is possible, after smart machine collects language message, obtain out matching degree and reach predetermined threshold and the maximum sample voice information of matching degree, the language corresponding with this sample voice information is defined as the language corresponding with this voice messaging.
Such as, the preset content of a certain intelligent terminal is " hello ", and recorded Chinese, English, French three kinds of sample voice information, if predetermined threshold is 90%.So, as user's typing " Hello ", " Hello " mates with sample voice information by this intelligent terminal, detect that " Hello " is 95% with the matching degree of the sample voice information of English, being 45% with the matching degree of the sample voice information of French, is 5% with the matching degree of the sample voice information of Chinese.Because " Hello " and the matching degree of the sample voice information of English are greater than predetermined threshold (95%>90%), and " Hello " is maximum with the matching degree of the sample voice information of English, therefore, English is defined as the language corresponding with " Hello " by intelligent terminal.
For another example, the preset content of a certain intelligent terminal is " hello ", and recorded Chinese, English, French three kinds of sample voice information, if predetermined threshold is 90%.So, when user's typing " China ", " China " mates with sample voice information by this intelligent terminal, detect that " China " is 65% with the matching degree of the sample voice information of Chinese, being 15% with the matching degree of the sample voice information of English, is 5% with the matching degree of the sample voice information of French.Because " China " and the matching degree of arbitrary sample voice information are all less than predetermined threshold, therefore, intelligent terminal will not carry out next step and confirm operation, and point out user to re-start the typing of voice messaging.
In a kind of possible implementation, still see Fig. 3 B, this handover module 303 comprises: prompting submodule 303a and switching submodule 303b.
Prompting submodule 303a, is configured to prompting user whether switched system language.
Switching submodule 303b, is configured to after receiving the confirmation switching command being used to indicate and allowing switched system language, this system language is switched to the language that the category of language that gets is corresponding.
After the language corresponding with sample voice information is defined as the language corresponding with the voice messaging of user's typing by smart machine, user can be pointed out whether switched system language by screen output information, whether switched system language is selected by user, and after receiving the confirmation switching command being used to indicate and allowing switched system language, this system language is switched to the language corresponding with the speech category of user's typing got.
In a kind of possible implementation, still see Fig. 3 B, this device also comprises: keep module 304.
Keep module 304, be configured to, after receiving the confirmation switching command being used to indicate refusal switched system language, this system language be remained the language of Default Value.
Fig. 2 D is the schematic diagram at the system language switch prompting interface according to an exemplary embodiment, and as shown in Figure 2 D, when user selects " confirmation " control in system language switch prompting interface, system language is then switched to Chinese by smart machine.When user selects " cancellation " control in system language switch prompting interface, smart machine does not then switch system language, remains the language of Default Value.
Preferably, the word shown in system language switch prompting interface language used is the language corresponding with the voice messaging of user's typing that intelligent terminal gets.
In sum, the system language setting device provided in disclosure embodiment, by utilizing the microphone collection of smart machine and identifying voice messaging, determine the category of language corresponding with this voice messaging, and the language being switched to by the system language of this smart machine the category of language that gets corresponding; Due to the direct switched system language of voice messaging that smart machine can obtain according to microphone, therefore solve and utilize SIM card information to the mode obtaining language not problem very accurately; Reach the practical language service condition switched system language of smart machine according to user, improve the effect that smart machine system language switches accuracy rate.
In the present embodiment, by after receiving the confirmation instruction being used to indicate and confirming to change system language, the typing of voice messaging is carried out by the sound-recording function of the manually opened microphone of user, avoid the typing because carrying out voice messaging when user is in comparatively noisy environment, the voice messaging quality causing smart machine to gather is not good.
In the present embodiment, by directly carrying out languages identification to obtained voice messaging and the matching degree two kinds of methods calculated between voice messaging and each sample voice information prestored identify voice messaging, improve the accuracy rate of smart machine identifiable language information.
In the present embodiment, by prompting user whether switched system language, whether judge language corresponding to category of language that smart machine will switch voluntarily accurately and switched system language by user, prevent smart machine from carrying out mistake switching to the system language of identification error.
About the device in above-described embodiment, wherein the concrete mode of modules executable operations has been described in detail in about the embodiment of the method, will not elaborate explanation herein.
The disclosure one exemplary embodiment provides a kind of system language setting device, can realize the language setting method that the disclosure provides, and this language setting device comprises: processor, storer for storage of processor executable instruction;
Wherein, processor is configured to:
Gather voice messaging;
Speech recognition is carried out to voice messaging, determines the category of language corresponding with this voice messaging;
The system language of smart machine is switched to the language that the category of language that gets is corresponding.
Fig. 4 is a kind of block diagram for arranging system language according to an exemplary embodiment.Such as, device 400 can be mobile phone, computing machine, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc.
With reference to Fig. 4, device 400 can comprise following one or more assembly: processing components 402, storer 404, power supply module 406, multimedia groupware 408, audio-frequency assembly 410, I/O (I/O) interface 412, sensor module 414, and communications component 416.
The integrated operation of the usual control device 400 of processing components 402, such as with display, call, data communication, camera operation and record operate the operation be associated.Processing components 402 can comprise one or more processor 418 to perform instruction, to complete all or part of step of above-mentioned method.In addition, processing components 402 can comprise one or more module, and what be convenient between processing components 402 and other assemblies is mutual.Such as, processing components 402 can comprise multi-media module, mutual with what facilitate between multimedia groupware 408 and processing components 402.
Storer 404 is configured to store various types of data to be supported in the operation of device 400.The example of these data comprises for any application program of operation on device 400 or the instruction of method, contact data, telephone book data, message, picture, video etc.Storer 404 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), ROM (read-only memory) (ROM), magnetic store, flash memory, disk or CD.
The various assemblies that power supply module 406 is device 400 provide electric power.Power supply module 406 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 400 and be associated.
Multimedia groupware 408 is included in the screen providing an output interface between device 400 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel comprises one or more touch sensor with the gesture on sensing touch, slip and touch panel.Touch sensor can the border of not only sensing touch or sliding action, but also detects the duration relevant with touch or slide and pressure.In certain embodiments, multimedia groupware 408 comprises a front-facing camera and/or post-positioned pick-up head.When device 400 is in operator scheme, during as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data.Each front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom ability.
Audio-frequency assembly 410 is configured to export and/or input audio signal.Such as, audio-frequency assembly 410 comprises a microphone (MIC), and when device 400 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The sound signal received can be stored in storer 404 further or be sent via communications component 416.In certain embodiments, audio-frequency assembly 410 also comprises a loudspeaker, for output audio signal.
I/O interface 412 is for providing interface between processing components 402 and peripheral interface module, and above-mentioned peripheral interface module can be keyboard, some striking wheel, button etc.These buttons can include but not limited to: home button, volume button, start button and locking press button.
Sensor module 414 comprises one or more sensor, for providing the state estimation of various aspects for device 400.Such as, sensor module 414 can detect the opening/closing state of device 400, the relative positioning of assembly, such as assembly is display and the keypad of device 400, the position of all right pick-up unit 400 of sensor module 414 or device 400 1 assemblies changes, the presence or absence that user contacts with device 400, the temperature variation of device 400 orientation or acceleration/deceleration and device 400.Sensor module 414 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor module 414 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor module 414 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 416 is configured to the communication being convenient to wired or wireless mode between device 400 and other equipment.Device 400 can access the wireless network based on communication standard, as Wi-Fi, 2G or 3G, or their combination.In one exemplary embodiment, communications component 416 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, communications component 416 also comprises near-field communication (NFC) module, to promote junction service.Such as, can based on radio-frequency (RF) identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 400 can be realized, for performing said system language setting method by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD) (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the storer 404 of instruction, above-mentioned instruction can perform said system language setting method by the processor 418 of device 400.Such as, non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.
Those skilled in the art, at consideration instructions and after putting into practice invention disclosed herein, will easily expect other embodiment of the present disclosure.The application is intended to contain any modification of the present disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present disclosure and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Instructions and embodiment are only regarded as exemplary, and true scope of the present disclosure and spirit are pointed out by claim below.
Should be understood that, the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.The scope of the present disclosure is only limited by appended claim.
Claims (13)
1. a system language method to set up, is characterized in that, is applied in smart machine, and described method comprises:
Gather voice messaging;
Speech recognition is carried out to described voice messaging, determines the category of language corresponding with described voice messaging;
The language switching to described category of language corresponding the system language of described smart machine.
2. method according to claim 1, is characterized in that, described collection voice messaging, comprising:
After receiving the confirmation instruction being used to indicate and confirming to change system language, detect whether receive recording start signal;
If receive described recording start signal, then open the sound-recording function of microphone;
Utilize the described voice messaging that described microphone collection user inputs.
3. method according to claim 2, is characterized in that, whether described detection receives recording start signal, comprising:
Detect predetermined key whether to be triggered according to predetermined way;
When described predetermined key is triggered according to described predetermined way, judge to receive described recording start signal.
4. method according to claim 1, is characterized in that, describedly carries out speech recognition to described voice messaging, determines the category of language corresponding with described voice messaging, comprising:
Carry out languages identification to described voice messaging, determine the category of language corresponding to described voice messaging, described languages are languages that user is using during voice messaging described in typing; Or,
Calculate the matching degree between described voice messaging and each sample voice information prestored, described sample voice information is the voice with predetermined content utilizing corresponding language to record; Obtain out the sample voice information that matching degree reaches predetermined threshold; The category of language described matching degree being reached the sample voice information of predetermined threshold corresponding is defined as the category of language corresponding with described voice messaging.
5., according to described method arbitrary in Claims 1-4, it is characterized in that the language that the described system language by described smart machine switches to described category of language corresponding comprises:
Prompting user whether switched system language;
After receiving the confirmation switching command being used to indicate and allowing switched system language, described system language is switched to the language that the described category of language that gets is corresponding.
6. method according to claim 5, is characterized in that, described method also comprises:
After receiving the confirmation switching command being used to indicate refusal switched system language, described system language is remained the language of Default Value.
7. a system language setting device, is characterized in that, is applied in smart machine, and described device comprises:
Acquisition module, is configured to gather voice messaging;
Determination module, the voice messaging be configured to described acquisition module collects carries out speech recognition, determines the category of language corresponding with described voice messaging;
Handover module, the language that the described category of language being configured to the system language of described smart machine to switch to described determination module to get is corresponding.
8. device according to claim 7, is characterized in that, described acquisition module, comprising:
First detection sub-module, is configured to, after receiving the confirmation instruction being used to indicate and confirming to change system language, to detect whether receive recording start signal;
Opening submodule, being configured to when receiving described recording start signal, open the sound-recording function of microphone;
Gather submodule, be configured to the described voice messaging utilizing described microphone collection user to input.
9. device according to claim 8, is characterized in that, described first detection sub-module, comprising:
Whether the second detection sub-module, be configured to detect predetermined key and be triggered according to predetermined way;
Decision sub-module, is configured to when described predetermined key is triggered according to described predetermined way, judges to receive described recording start signal.
10. device according to claim 7, is characterized in that, described determination module, comprising:
First obtains submodule, and be configured to carry out languages identification to described voice messaging, determine the category of language corresponding to described voice messaging, described languages are languages that user is using during voice messaging described in typing; Or,
Second obtains submodule, and be configured to calculate the matching degree between described voice messaging and each sample voice information prestored, described sample voice information is the voice with predetermined content utilizing corresponding language to record; Obtain out the sample voice information that matching degree reaches predetermined threshold; The category of language corresponding with described voice messaging is defined as by with the language that described matching degree reaches the sample voice kind of information of predetermined threshold corresponding.
11. according to described device arbitrary in claim 7 to 10, and it is characterized in that, described handover module, comprising:
Prompting submodule, is configured to prompting user whether switched system language;
Switching submodule, is configured to after receiving the confirmation switching command being used to indicate and allowing switched system language, described system language is switched to the language that the described category of language that gets is corresponding.
12. devices according to claim 11, is characterized in that, described device also comprises:
Keep module, be configured to, after receiving the confirmation switching command being used to indicate refusal switched system language, described system language be remained the language of Default Value.
13. 1 kinds of system language setting devices, is characterized in that, described device comprises:
Processor;
For storing the storer of described processor executable;
Wherein, described processor is configured to:
The microphone of described smart machine is utilized to gather voice messaging;
Speech recognition is carried out to described voice messaging, determines the category of language corresponding with described voice messaging;
The system language of described smart machine is switched to the language that the described category of language that gets is corresponding.
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Cited By (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105895088A (en) * | 2016-05-27 | 2016-08-24 | 京东方科技集团股份有限公司 | Intelligent wearable device and voice error correction system |
| CN106409285A (en) * | 2016-11-16 | 2017-02-15 | 杭州联络互动信息科技股份有限公司 | Method and apparatus for intelligent terminal device to identify language type according to voice data |
| CN106681709A (en) * | 2016-11-24 | 2017-05-17 | 宇龙计算机通信科技(深圳)有限公司 | System language switching method and device |
| CN107545887A (en) * | 2016-06-24 | 2018-01-05 | 中兴通讯股份有限公司 | Phonetic order processing method and processing device |
| CN107704229A (en) * | 2017-06-28 | 2018-02-16 | 浙江苏泊尔家电制造有限公司 | Method, cooking apparatus and the computer-readable storage medium of speech play |
| CN108154881A (en) * | 2017-11-28 | 2018-06-12 | 苏州市东皓计算机***工程有限公司 | A kind of voice recognition method of computer |
| CN108255555A (en) * | 2017-12-26 | 2018-07-06 | 平安科技（深圳）有限公司 | A kind of system language switching method and terminal device |
| CN108289252A (en) * | 2017-12-29 | 2018-07-17 | 山东浪潮商用***有限公司 | A kind of set-top box and method of switching system language |
| CN108806673A (en) * | 2017-05-04 | 2018-11-13 | 北京猎户星空科技有限公司 | A kind of smart machine control method, device and smart machine |
| CN109240785A (en) * | 2018-08-31 | 2019-01-18 | 维沃移动通信有限公司 | A kind of method, terminal and storage medium that language is set |
| CN109658931A (en) * | 2018-12-19 | 2019-04-19 | 平安科技（深圳）有限公司 | Voice interactive method, device, computer equipment and storage medium |
| CN109785681A (en) * | 2019-03-22 | 2019-05-21 | 邱洵 | A kind of English language tutoring system and teaching application method |
| WO2019104667A1 (en) * | 2017-11-30 | 2019-06-06 | 深圳市沃特沃德股份有限公司 | Method for operating translating machine and finger-ring remote controller |
| CN109949793A (en) * | 2019-03-06 | 2019-06-28 | 百度在线网络技术（北京）有限公司 | Method and apparatus for output information |
| CN110414014A (en) * | 2019-08-05 | 2019-11-05 | 珠海格力电器股份有限公司 | A kind of speech ciphering equipment control method, device, storage medium and speech ciphering equipment |
| CN110730952A (en) * | 2017-11-03 | 2020-01-24 | 腾讯科技（深圳）有限公司 | Method and system for processing audio communication on network |
| CN110895925A (en) * | 2018-09-13 | 2020-03-20 | 佳能株式会社 | Electronic device, control method thereof, and storage medium for electronic device |
| CN111338720A (en) * | 2018-12-19 | 2020-06-26 | 上海博泰悦臻电子设备制造有限公司 | Voice broadcast language switching method and terminal |
| CN111487898A (en) * | 2019-01-28 | 2020-08-04 | 智同科技股份有限公司 | Voice control electrical equipment with language type discrimination |
| CN111722892A (en) * | 2019-03-19 | 2020-09-29 | 奇酷互联网络科技（深圳）有限公司 | System language switching method, electronic equipment and storage device |
| CN112068912A (en) * | 2020-08-18 | 2020-12-11 | 深圳传音控股股份有限公司 | System language type switching method, terminal and computer storage medium |
| CN113270100A (en) * | 2021-07-21 | 2021-08-17 | 广州朗国电子科技股份有限公司 | System language switching method, device and medium based on keywords |
| CN113641436A (en) * | 2021-08-13 | 2021-11-12 | 广州三星通信技术研究有限公司 | System language switching method and system for electronic device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1856142A (en) * | 2005-04-25 | 2006-11-01 | 三星电子株式会社 | Method for setting main language in mobile terminal and mobile terminal implementing the same |
| CN101446018A (en) * | 2008-11-17 | 2009-06-03 | 南京乐金熊猫电器有限公司 | Washing device and control method thereof |
| CN103246520A (en) * | 2013-05-24 | 2013-08-14 | 北京小米科技有限责任公司 | Method and device for replacing language used by program |
-
2015
- 2015-11-27 CN CN201510848167.8A patent/CN105511857A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1856142A (en) * | 2005-04-25 | 2006-11-01 | 三星电子株式会社 | Method for setting main language in mobile terminal and mobile terminal implementing the same |
| CN101446018A (en) * | 2008-11-17 | 2009-06-03 | 南京乐金熊猫电器有限公司 | Washing device and control method thereof |
| CN103246520A (en) * | 2013-05-24 | 2013-08-14 | 北京小米科技有限责任公司 | Method and device for replacing language used by program |
Cited By (35)
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| CN106409285A (en) * | 2016-11-16 | 2017-02-15 | 杭州联络互动信息科技股份有限公司 | Method and apparatus for intelligent terminal device to identify language type according to voice data |
| CN106681709A (en) * | 2016-11-24 | 2017-05-17 | 宇龙计算机通信科技(深圳)有限公司 | System language switching method and device |
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| US11114091B2 (en) | 2017-11-03 | 2021-09-07 | Tencent Technology (Shenzhen) Company Limited | Method and system for processing audio communications over a network |
| CN110730952B (en) * | 2017-11-03 | 2021-08-31 | 腾讯科技（深圳）有限公司 | Method and system for processing audio communication on network |
| CN110730952A (en) * | 2017-11-03 | 2020-01-24 | 腾讯科技（深圳）有限公司 | Method and system for processing audio communication on network |
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| WO2019104667A1 (en) * | 2017-11-30 | 2019-06-06 | 深圳市沃特沃德股份有限公司 | Method for operating translating machine and finger-ring remote controller |
| US11341329B2 (en) * | 2017-12-26 | 2022-05-24 | Ping An Technology (Shenzhen) Co., Ltd. | System language switching method, readable storage medium, terminal device, and apparatus |
| CN108255555A (en) * | 2017-12-26 | 2018-07-06 | 平安科技（深圳）有限公司 | A kind of system language switching method and terminal device |
| JP2020509436A (en) * | 2017-12-26 | 2020-03-26 | 平安科技（深▲せん▼）有限公司Ｐｉｎｇ Ａｎ Ｔｅｃｈｎｏｌｏｇｙ （Ｓｈｅｎｚｈｅｎ） Ｃｏ．，Ｌｔｄ． | System language switching method and system language switching terminal device |
| WO2019127833A1 (en) * | 2017-12-26 | 2019-07-04 | 平安科技（深圳）有限公司 | System language switching method, terminal device, and apparatus, and readable storage medium |
| CN108255555B (en) * | 2017-12-26 | 2019-08-13 | 平安科技（深圳）有限公司 | A kind of system language switching method and terminal device |
| CN108289252A (en) * | 2017-12-29 | 2018-07-17 | 山东浪潮商用***有限公司 | A kind of set-top box and method of switching system language |
| CN109240785B (en) * | 2018-08-31 | 2021-01-22 | 维沃移动通信有限公司 | Method, terminal and storage medium for setting language |
| CN109240785A (en) * | 2018-08-31 | 2019-01-18 | 维沃移动通信有限公司 | A kind of method, terminal and storage medium that language is set |
| CN110895925A (en) * | 2018-09-13 | 2020-03-20 | 佳能株式会社 | Electronic device, control method thereof, and storage medium for electronic device |
| CN110895925B (en) * | 2018-09-13 | 2024-04-12 | 佳能株式会社 | Electronic device for changing language setting, control method thereof, and storage medium |
| US11914958B2 (en) | 2018-09-13 | 2024-02-27 | Canon Kabushiki Kaisha | Electronic apparatus, method for controlling the same, and storage medium for the same |
| CN111338720A (en) * | 2018-12-19 | 2020-06-26 | 上海博泰悦臻电子设备制造有限公司 | Voice broadcast language switching method and terminal |
| CN109658931B (en) * | 2018-12-19 | 2024-05-10 | 平安科技（深圳）有限公司 | Voice interaction method, device, computer equipment and storage medium |
| CN109658931A (en) * | 2018-12-19 | 2019-04-19 | 平安科技（深圳）有限公司 | Voice interactive method, device, computer equipment and storage medium |
| CN111487898A (en) * | 2019-01-28 | 2020-08-04 | 智同科技股份有限公司 | Voice control electrical equipment with language type discrimination |
| CN109949793A (en) * | 2019-03-06 | 2019-06-28 | 百度在线网络技术（北京）有限公司 | Method and apparatus for output information |
| CN111722892A (en) * | 2019-03-19 | 2020-09-29 | 奇酷互联网络科技（深圳）有限公司 | System language switching method, electronic equipment and storage device |
| CN109785681A (en) * | 2019-03-22 | 2019-05-21 | 邱洵 | A kind of English language tutoring system and teaching application method |
| CN110414014A (en) * | 2019-08-05 | 2019-11-05 | 珠海格力电器股份有限公司 | A kind of speech ciphering equipment control method, device, storage medium and speech ciphering equipment |
| CN110414014B (en) * | 2019-08-05 | 2020-12-04 | 珠海格力电器股份有限公司 | Voice equipment control method and device, storage medium and voice equipment |
| CN112068912A (en) * | 2020-08-18 | 2020-12-11 | 深圳传音控股股份有限公司 | System language type switching method, terminal and computer storage medium |
| CN113270100A (en) * | 2021-07-21 | 2021-08-17 | 广州朗国电子科技股份有限公司 | System language switching method, device and medium based on keywords |
| CN113641436A (en) * | 2021-08-13 | 2021-11-12 | 广州三星通信技术研究有限公司 | System language switching method and system for electronic device |
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