CN114448951B - Method and device for automatically canceling mute of vehicle - Google Patents
Method and device for automatically canceling mute of vehicle Download PDFInfo
- Publication number
- CN114448951B CN114448951B CN202210359940.4A CN202210359940A CN114448951B CN 114448951 B CN114448951 B CN 114448951B CN 202210359940 A CN202210359940 A CN 202210359940A CN 114448951 B CN114448951 B CN 114448951B
- Authority
- CN
- China
- Prior art keywords
- user
- vehicle
- speaking
- call
- car machine
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/40—Support for services or applications
- H04L65/403—Arrangements for multi-party communication, e.g. for conferences
- H04L65/4038—Arrangements for multi-party communication, e.g. for conferences with floor control
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/06—Selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS]; Services to user groups; One-way selective calling services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Multimedia (AREA)
- Telephonic Communication Services (AREA)
- Telephone Function (AREA)
Abstract
The application discloses a method and a device for automatically canceling mute of a vehicle, and relates to the technical field of vehicle-mounted communication. The method comprises the following steps: responding to the connection of a vehicle machine and a mobile terminal, wherein the vehicle machine acquires the identity information of a user of the mobile terminal; the car machine detects a call state in response to the detection that the user carries out multi-person call through the car machine; in response to the detection that the call state is silent, the car machine acquires call information of the multi-person call; the car machine judges whether the call state needs to be set to be mute cancellation or not according to the identity information and the call information; and if the call state needs to be set to be mute-canceled, the vehicle machine controls the vehicle to execute corresponding operation. The vehicle-mounted mute button recognition system and the vehicle-mounted mute button recognition method can be used for recognizing the call environment in the vehicle under the condition that the vehicle machine is connected with the mobile terminal and the mute button of the vehicle is pressed, judging whether a user needs to speak or not, automatically canceling the mute according to the requirement and improving the experience of the user.
Description
Technical Field
The application relates to the technical field of vehicle-mounted communication, in particular to a method and a device for automatically canceling mute of a vehicle.
Background
Along with the development of artificial intelligence technology and vehicle-mounted communication technology, more and more people can be connected mobile terminal and car machine in the vehicle driving process, carry out the voice call. However, in some cases, for example, when a call of a multi-party conference occurs, since the mute button of the vehicle has been pressed before and the user does not speak for a while, when speaking, the user forgets to cancel the mute button, so that other people do not hear the user speaking, which results in poor experience of the user.
Disclosure of Invention
In order to solve at least one problem mentioned in the background art, the application provides a method and a device for automatically canceling silence of a vehicle, which can identify a call environment in the vehicle, judge whether a user needs to speak, automatically cancel silence according to a requirement and improve the experience of the user under the condition that a vehicle machine is connected with a mobile terminal and a silence button of the vehicle is pressed.
The embodiment of the application provides the following specific technical scheme:
in a first aspect, a method for automatically canceling silence of a vehicle is provided, and is applied to a vehicle machine, and the method includes:
responding to the connection between the vehicle machine and the mobile terminal, and the vehicle machine acquiring the identity information of the user of the mobile terminal;
the car machine detects a call state in response to the detection that the user carries out multi-person call through the car machine;
in response to the detection that the call state is silent, the car machine acquires call information of the multi-person call;
the car machine judges whether the call state needs to be set to be mute cancellation or not according to the identity information and the call information;
and if the call state needs to be set to be mute-canceled, the vehicle machine controls the vehicle to execute corresponding operation.
By adopting the technical scheme, the vehicle-mounted terminal can identify the conversation environment in the vehicle under the condition that the vehicle-mounted terminal is connected with the mobile terminal, a plurality of people have talks and the mute button of the vehicle is pressed at the same time, judge whether the user needs to speak, automatically cancel the mute according to the requirement, and improve the experience of the user.
Further, the call information at least includes call contents of the multi-person call; the car machine obtains the call information of the multi-person call, including: and the car machine continuously monitors the conversation content of the multi-person conversation and analyzes the speaking content of each participant in the conversation content into a text record until the multi-person conversation is finished.
By adopting the technical scheme, the speaking content of each participant in the multi-person conversation can be monitored in real time and analyzed into the character records, so that the conversation intention of the multi-person conversation can be identified according to the character records subsequently, and the character records can be further processed.
Further, the car machine continuously monitors the conversation content of the multi-people conversation, and analyzes the speaking content of each participant in the conversation content into a text record until the multi-people conversation is finished, including: the car machine correspondingly creates a language database of each participant according to the character records of each participant, adds the character records of each participant to the corresponding language database, stores the language database to the car machine, and encrypts the language database by a secret key through an algorithm so as to obtain the language database through secret key decryption subsequently.
By adopting the technical scheme, the language database of each participant can be formed according to the character records of each participant, and the language database is created to identify the identities and possible voice contents of the participants according to the stored language database when voice communication occurs subsequently. And when the language database needs to be called subsequently, the secret key is decrypted through the same algorithm, so that the safety of the language database is ensured, the conversation privacy of the user and the participants is ensured, and the reliability of the system and the experience of the user are improved.
Further, the car machine determines whether the call state needs to be set to mute cancellation according to the identity information and the call information, including: the car machine judges the speaking state of the user according to the identity information and the conversation information; the car machine judges whether the conversation state needs to be set to be mute cancellation or not according to the speaking state; wherein the speaking status comprises at least one of: the user needs to speak, the user needs to speak but is not suitable to speak, and the user is speaking.
By adopting the technical scheme, the speaking state of the user is judged to analyze whether the user belongs to the condition of needing to speak, needing to speak but not suitable for speaking or speaking at the moment, the conversation environment of the user is analyzed to judge whether the user really needs to speak under the condition of silence, and the multi-directional scene analysis ensures the use experience of the user.
Further, the identity information includes at least one of: a name of the user, a title of the user, and a position of the user; the responding to the connection between the car machine and the mobile terminal, the car machine acquiring the identity information of the user of the mobile terminal, including: the car machine determines at least one keyword related to the identity information of the user according to the identity information, and stores the at least one keyword; the said car machine according to said identity information and said conversation information, judge said user's state of speaking, including: the car machine monitors whether the call information contains the at least one keyword or not, and judges the speaking state of the user based on the monitoring condition.
By adopting the technical scheme, the keyword information about the user identity can be determined and stored for identifying the user identity, whether the scene that the user needs to speak belongs to is judged by judging whether the conversation information contains the keyword about the user identity, so that the speaking state of the user is judged, and a basis is provided for judging whether the conversation state needs to be set to cancel mute. In addition, the stored keyword information about the user identity can also be used for identifying the identity of the user in a multi-person call later.
Further, the car machine monitors whether the call information includes the at least one keyword, and determines the speaking status of the user based on a monitoring condition, including: if the monitoring condition is that the call information contains the at least one keyword, the car machine judges that the speaking state of the user is that the user needs to speak or the user needs to speak but is not suitable for speaking.
By adopting the technical scheme, whether the user is in a scene unsuitable for speaking can be further judged, so that the condition that silence is cancelled by mistake in the scene unsuitable for speaking is avoided, the design is more humanized, and the conversation experience of the user is further improved.
Further, the car machine monitoring whether the call information includes the at least one keyword, and before determining the speaking status of the user based on the monitoring condition, the method further includes: the vehicle-mounted machine acquires the running condition information of the vehicle and monitors the voice information in the vehicle; the vehicle machine judges whether the speaking state of the user is that the user needs to speak or the user needs to speak but is not suitable for speaking, and the method comprises the following steps: in response to that the voice information of the user is not detected within a first preset time and/or the vehicle is determined to be in a complex road condition currently based on the running condition, the vehicle machine determines that the speaking state of the user is that the user needs to speak but is not suitable for speaking; the said car machine according to the said speech state, judge whether it needs to set up the said conversation state as and cancel the silence, including: the car machine judges that the call state does not need to be set to mute cancellation; or, the determining, by the car machine, that the speaking state of the user is that the user needs to speak or that the user needs to speak but is not suitable for speaking includes: responding to a voice waveform signal of the user detected within a first preset time and determining that the vehicle is currently in a non-complex road condition based on the running condition, and determining that the speaking state of the user is that the user needs to speak by the vehicle machine; the car machine judges whether the call state needs to be set to cancel silence according to the speech state, and the method comprises the following steps: and the car machine judges that the call state needs to be set to be mute cancellation.
By adopting the technical scheme, when the car machine detects that the car machine belongs to a scene that a user needs to speak, the situation that the user does not want to speak, or the user is attentively driving, or the user is in a complex ground road condition can exist. In consideration of the situations, the fact that the user is not suitable for speaking is judged by not detecting the voice waveform signal of the user and/or detecting that the driving condition is the complex road condition within the first preset time, so that the user is ensured to drive attentively, and the phenomenon that silence is cancelled by false triggering is avoided, so that the user experience is improved.
Further, the call information further includes at least one of the following: the human voice tone of the user and the speaking volume of the user; before the car machine judges the speaking state of the user according to the identity information and the conversation information, the method further comprises the following steps: monitoring voice information in the vehicle, wherein the voice information comprises a voice color and a voice volume in the vehicle; the said car machine according to said identity information and said conversation information, judge said user's state of speaking, including: the vehicle machine detects whether the human voice color in the vehicle contains the human voice color of the user according to the identity information and the human voice color of the user; if yes, the vehicle machine judges whether the user speaks for the multi-person conversation according to the volume of the voice in the vehicle and the speaking volume of the user; if so, the car machine judges the speaking state of the user as that the user is speaking; the car machine judges whether the call state needs to be set to cancel silence according to the speech state, and the method comprises the following steps: the car machine continuously monitors the speech content of the user, analyzes and compares the speech content with the call information of the multi-person call, and judges whether the speech content is matched with the call information or not; and if the speaking content is judged to be matched with the conversation information, judging that the conversation state needs to be set to cancel mute.
By adopting the technical scheme, whether the speaker is the user of the mobile terminal is identified through the voice tone; and judging whether the user calls the vehicle or not according to the voice volume and further judging whether the speaking content is related to the calling content or not. Whether the user needs to speak under the mute condition is judged through the dimensions, when the conditions are met, the fact that the call state needs to be set to be silent cancellation is judged, the situation that the mute is cancelled by mistake is further avoided, and meanwhile, the fact that the vehicle executes to cancel the mute when the user really forgets to cancel the mute and needs to speak is guaranteed, so that the call experience of the user is improved.
Further, if it is determined that the call state needs to be set to mute cancellation, the car machine controls the vehicle to execute a corresponding operation, including at least one of: the vehicle machine controls the vehicle to automatically cancel the mute key or controls the vehicle to prompt a user to manually cancel the mute key.
By adopting the technical scheme, the automatic mute button cancellation of the vehicle or the manual mute button cancellation of the user can be automatically determined according to the actual requirements of the user, the flexibility is strong, and the experience of the user is good.
In a second aspect, there is provided a vehicle automatic mute apparatus, comprising:
the communication module is used for responding to the connection between a vehicle machine and the mobile terminal, and the vehicle machine acquires the identity information of a user of the mobile terminal;
the voice detection module is used for responding to the detection that the user carries out multi-person conversation through the car machine, and the car machine detects the conversation state;
the voice acquisition module is used for responding to the detection that the call state is mute, and the car machine acquires the call information of the multi-person call;
the judging module is used for judging whether the call state needs to be set to be mute cancellation or not according to the identity information and the call information by the car machine;
and the control module is used for controlling the vehicle to execute corresponding operations by the vehicle machine.
In a third aspect, a vehicle is provided, comprising:
the automatic vehicle mute cancellation device comprises a vehicle automatic mute cancellation device, a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the automatic vehicle mute cancellation method.
In a fourth aspect, a computer-readable storage medium is provided that stores computer-executable instructions for performing the method for automatically canceling muting a vehicle.
The embodiment of the application has the following beneficial effects:
according to the method and the device for automatically canceling the mute of the vehicle, the communication environment in the vehicle can be identified, whether a user needs to speak or not is judged, the mute is automatically canceled according to the requirement, and the experience of the user is improved under the condition that the vehicle machine is connected with the mobile terminal, multi-person communication is carried out, and the mute button of the vehicle is pressed; the speaking state of the user can be judged to analyze whether the user needs to speak, needs to speak but is not suitable for speaking or is speaking, the conversation environment of the user is analyzed to judge whether the user really needs to speak under the condition of silence, and the multi-directional scene analysis is carried out to guarantee the use experience of the user; whether the user really needs to speak under the mute condition can be judged according to multiple dimensions such as the user identity, the voice information and the driving condition, so that the condition that the mute is cancelled by mistake is avoided, and the conversation experience of the user is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a general flowchart illustrating a method for automatically muting a vehicle according to an embodiment of the present application;
FIG. 2 illustrates a detailed flow diagram of a method for automatically muting a vehicle according to one embodiment of the present application;
fig. 3 is a schematic structural diagram illustrating an automatic mute apparatus for a vehicle according to an embodiment of the present application;
FIG. 4 illustrates an exemplary system that can be used to implement the various embodiments described in this application.
Detailed Description
In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be understood that throughout the description and claims of this application, unless the context clearly requires otherwise, the words "comprise", "comprising", and the like, are to be construed in an inclusive sense as opposed to an exclusive or exhaustive sense; that is, what is meant is "including but not limited to".
It should also be understood that the terms "first" and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, the meaning of "a plurality" is two or more unless otherwise specified.
It should be noted that the terms "S1", "S2", etc. are used for descriptive purposes only, are not intended to be used in a specific sense to refer to an order or sequence, and are not intended to limit the present application, but are merely used for convenience in describing the methods of the present application and are not to be construed as indicating the order of the steps. In addition, technical solutions between the embodiments may be combined with each other, but must be based on the realization of the technical solutions by a person skilled in the art, and when the technical solutions are contradictory to each other or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope claimed in the present application.
Example one
The application provides a method for automatically canceling silence of a vehicle, which is applied to a vehicle machine, and comprises the following steps of:
s1, responding to the connection of the car machine and the mobile terminal, and the car machine acquiring the identity information of the user of the mobile terminal;
s2, responding to the fact that the user carries out multi-person conversation through the car machine, and the car machine detects the conversation state;
s3, in response to the fact that the call state is detected to be mute, the car machine acquires call information of multi-person call;
s4, the car machine judges whether the call state needs to be set as mute cancellation according to the identity information and the call information;
and S5, if the call state needs to be set to be mute-canceled, the vehicle-mounted machine controls the vehicle to execute corresponding operation.
Specifically, the mobile terminal includes, but is not limited to, a mobile phone, a tablet computer, a smart bracelet, a smart watch, and a notebook computer. Multi-person calls include, but are not limited to, voice calls based on a communications carrier, voice calls based on a chat application; the multi-person conversation also comprises a plurality of voice conversation modes such as telephone, voice chat or voice message. The user refers to a user of the mobile terminal, the vehicle machine is connected with the mobile terminal, the information of the mobile terminal is obtained, and the identity information of the user of the mobile terminal is identified, so that whether the user needs to speak under the condition of silence is judged according to the identity information of the user of the mobile terminal subsequently, the speaking environment in the vehicle is analyzed, whether the conversation state needs to be set to cancel the silence is judged, and the conversation experience of the user is improved.
This is further illustrated in connection with fig. 2:
in some embodiments, the call information includes at least call content of a multi-person call.
Based on this, S3 includes: and S31, the car machine continuously monitors the conversation content of the multi-person conversation, and analyzes the speaking content of each participant in the conversation content into a text record until the multi-person conversation is finished.
Specifically, the call information may include call contents of a multi-person call, a voice tone of the user, and a speaking volume of the user. The multi-person call can be continuously monitored, the call content of the multi-person call can be monitored, and the voice tone of the user and the speaking volume of the user can be continuously monitored. By monitoring the conversation content of the multi-person conversation, the voice information can be identified. For example, the multi-person call may include a voice conference, and for example, by monitoring the call content of the multi-person call, the conference information and the conference content may be read and identified, the speech content of the participants may be analyzed into a text record, and keywords of the conference may also be extracted, so that the subsequent call content (the conference content) may be analyzed and compared with the speech content of the mobile terminal user.
In some embodiments, S31 includes: the car machine correspondingly creates a language database of each participant according to the character records of each participant, adds the character records of each participant to the corresponding language database, stores the language database to the car machine, and encrypts the language database by a secret key through an algorithm so as to obtain the language database through decryption of the secret key subsequently.
Specifically, a separate corpus for each participant is created and stored in the ROM of the vehicle. For example, what contents a participant talks to may be stored, or individual talking contents/keywords of the participant may be stored. The language database is created for the purpose of identifying the identities of the participants and possible voice contents according to the stored language database when voice communication occurs subsequently, and the identities and the communication intentions of the participants can be judged. In addition, the vehicle can encrypt the secret key of the language database through algorithms such as AES and DES, and decrypt the secret key through the same algorithm when the language database needs to be called subsequently, so that the safety of the language database is guaranteed, the conversation privacy of the user and the participants is guaranteed, the reliability of the system is guaranteed, and the conversation experience of the user is improved.
In some embodiments, S4 includes:
s41, the car machine judges the speaking state of the user according to the identity information and the conversation information;
and S42, the car machine judges whether the call state needs to be set as silence cancellation or not according to the speaking state.
Wherein the speaking status comprises at least one of: the user needs to speak, the user needs to speak but is not suitable to speak, and the user is speaking.
Specifically, the speaking state of the user is judged to analyze whether the user belongs to the situation needing speaking, needs speaking but is not suitable for speaking or is speaking, the conversation environment of the user can be analyzed to judge whether the user really needs speaking under the mute condition, and the multidirectional scene analysis is performed to guarantee the use experience of the user.
In some embodiments, the identity information comprises at least one of: the name of the user, the title of the user, and the job title of the user.
Based on this, S1 includes:
s11, the vehicle machine determines at least one keyword related to the identity information of the user according to the identity information, and stores the at least one keyword.
S41 includes: s411, the car machine monitors whether the call information contains at least one keyword or not, and judges the speaking state of the user based on the monitoring condition.
Specifically, when the mobile terminal is connected to the car machine, the car machine acquires the identity information of the user according to the mobile terminal. The identity of the user or the information of the user is identified and analyzed through the name of the user, the title of the user and the position of the user, and possible shouting keyword information is listed and stored according to the identity of the user or the information. Therefore, when a voice call occurs, for example, when a conference occurs, and other participants yell to request the user to speak, whether the user needs to speak can be identified through the stored keyword information. For example, if the name of the user is zhang san, the name is zhang, the position is manager, and the company is lee four, the keyword information may be zhang san, zhang ye, zhang manager, zhang san of lee four, zhang of lee four, etc., and when a person calls the keyword information, the vehicle system may determine that the user needs to speak. In addition to the keyword information, it may be determined that the user needs to speak, for example, a microphone one, a microphone two, or a speech one, that is, a speech sequence mode, for example, and when the speech one is ended, the user speaks for the speech two, or it may be determined that the user needs to speak.
In some embodiments, S411 comprises: s4111, if the call information contains at least one keyword under the monitoring condition, the car machine judges that the speech state of the user is that the user needs to speak or the user needs to speak but is not suitable for speaking.
Specifically, after the fact that the user needs to speak is judged, whether the user is in a scene unsuitable for speaking needs to be further judged, so that the situation that the car phone cancels silence by mistake in the scene unsuitable for speaking is avoided, and the conversation experience of the user is further improved.
In some embodiments, prior to S411, the method further comprises: and S6, the vehicle machine acquires the running condition information of the vehicle and monitors the voice information in the vehicle.
Based on this, S4111 includes: 101. in response to that the voice information of the user is not detected within the first preset time and/or the vehicle is determined to be in the complex road condition currently based on the driving condition, the vehicle machine determines that the speaking state of the user is that the user needs to speak but is not suitable for speaking; s42 includes: the car machine determines that the call state does not need to be set to mute cancellation.
Alternatively, S4111 includes: 102. responding to a voice waveform signal of a user detected within a first preset time and determining that a vehicle is currently in a non-complex road condition based on a running condition, and determining that the speaking state of the user is that the user needs to speak by the vehicle machine; s42 includes: the car machine determines that the call state needs to be set to mute cancellation.
Specifically, in the monitoring situation, the call information includes at least one keyword, that is, the car machine determines that the user is in a premise of needing to speak, and the user may not want to speak, or the user is driving with concentration, or the user is in a complicated ground road condition. At this time, the vehicle judges that the user is in a speaking state that the user wants to speak but is not suitable for speaking, and judges that the user is not suitable for speaking by not detecting the voice waveform signal of the user within the first preset time and/or detecting that the driving condition is a complex road condition. The first preset time is preset with a standard value, and a user can change the first preset time according to the actual requirement of the user, and the first preset time can be set to be 5 seconds, 10 seconds, half minute and the like; the vehicle can acquire the running state of the vehicle through the sensor to judge whether the running state is a complex road condition or not so as to ensure that a user is attentive to driving.
In some embodiments, the call information further comprises at least one of: the human voice tone of the user and the speech volume of the user. Based thereon, prior to S41, the method further comprises: and S7, monitoring the voice information in the vehicle, wherein the voice information comprises the voice color and the voice volume in the vehicle.
Based on this, S41 includes: s412, the vehicle machine detects whether the human voice color in the vehicle contains the human voice color of the user according to the identity information and the human voice color of the user; s413, if yes, the vehicle-mounted device judges whether the user speaks for the multi-person conversation according to the voice volume in the vehicle and the speaking volume of the user; and S414, if so, the car machine judges the speaking state of the user to be that the user is speaking.
Based on this, S42 includes:
s421, the car machine continuously monitors the speech content of the user, analyzes and compares the speech content with the call information of the multi-person call, and judges whether the speech content is matched with the call information;
and S422, if the speaking content is judged to be matched with the conversation information, judging that the conversation state needs to be set to be silent cancellation.
Specifically, the call information may further include a voice tone of the user and a speaking volume of the user. The human voice tone color in the vehicle and the human voice volume in the vehicle can be continuously monitored. Whether a speaker in the vehicle is a user of the connected mobile terminal or not can be identified by continuously monitoring the voice tone of the person in the vehicle; by continuously monitoring the voice volume in the vehicle, the speaker can judge whether speaking to the vehicle machine or speaking to other people in the vehicle through waveform and volume analysis, so as to avoid the problems of mistakenly canceling silence and causing unnecessary troubles.
For example, the vehicle firstly judges whether the vehicle is a user of the mobile terminal, such as a mobile phone owner, according to the voice tone, so as to prevent other people in the vehicle from accidentally speaking to cause misjudgment of voice call and speaking; then judging whether the vehicle is communicated or not according to the voice volume of the person, but other people of the vehicle are not communicated; at this time, the vehicle may determine that the user who is the mobile terminal is speaking. The vehicle can continuously detect the speech content of the user, quickly identify the keywords in the speech content, and then analyze and compare the speech content with the conversation content of the voice conversation. The call content may include, among others, a title of a voice call (e.g., a conference title) stored in the vehicle ROM, the aforementioned conference information, and conference content. In addition, the keywords in the linguistic database of the speaking of the participants can be compared with the keywords of the speaking content of the user to confirm whether the keywords are the same. If the same or higher similarity exists, the speaking content is determined to be the same thing discussed by other people, and the call state needs to be set to be unmuted. And finally, the vehicle confirms which MIC module has waveform input through the 3 MIC modules arranged on the roofs of the main driver, the auxiliary driver and the rear row vehicle, so that whether the main driver, the auxiliary driver or the rear row vehicle speaks is judged. For example, if it is determined that the driver has a waveform input, the driver participates in speaking, and then the Mute other 2-way MIC.
In some embodiments, S5 includes at least one of: the vehicle-mounted control vehicle automatically cancels the mute button or prompts a user to manually cancel the mute button.
Specifically, after the user can set the car machine by himself to determine that the call state needs to be set to mute, the car can automatically cancel the mute button or prompt the user to manually cancel the mute button, and the setting can be performed according to the actual requirements of the user. After the vehicle automatically cancels the mute button, the user can be prompted that the mute button is cancelled; when the user is prompted to cancel the mute button manually, a time threshold value can be set, and after the time threshold value is exceeded, the mute button is not canceled.
In the embodiment, under the condition that the car machine is connected with the mobile terminal, a plurality of people talk and the mute button of the car is pressed at the same time, the talk environment in the car can be identified, whether a user needs to speak or not is judged, the mute is automatically cancelled according to the requirement, and the experience of the user is improved; the speaking state of the user can be judged to analyze whether the user needs to speak, needs to speak but is not suitable for speaking or is speaking, the conversation environment of the user is analyzed to judge whether the user really needs to speak under the condition of silence, and the multi-directional scene analysis is carried out to guarantee the use experience of the user; whether the user really needs to speak under the mute condition can be judged according to multiple dimensions such as the user identity, the voice information and the driving condition, so that the condition that the mute is cancelled by mistake is avoided, and the conversation experience of the user is improved.
Example two
Corresponding to the above embodiment, the present application further provides a device for automatically canceling mute of a vehicle, referring to fig. 3, the device includes a communication module 301, a voice detection module 302, a voice acquisition module 303, a determination module 304, and a control module 305.
The communication module 301 is configured to respond to a connection between a car machine and a mobile terminal, where the car machine obtains identity information of a user of the mobile terminal; the voice detection module 302 is configured to respond to a detection that the user has a multi-person call through the car machine, and the car machine detects a call state; the voice obtaining module 303 is configured to, in response to detecting that the call state is silent, obtain, by the car machine, call information of the multi-person call; a determining module 304, configured to determine, by the car machine, whether the call state needs to be set to mute cancellation according to the identity information and the call information; and a control module 305, configured to control the vehicle to execute a corresponding operation.
Further, the call information at least includes call contents of the multi-person call. Based on this, the voice obtaining module 303 is further configured to continuously monitor the call content of the multi-person call by the car machine, and analyze the speech content of each participant in the call content into a text record until the multi-person call is ended.
Further, the voice obtaining module 303 is further configured to correspondingly create, by the car machine, a language database of each participant according to the text record of each participant, add the text record of each participant to the corresponding language database, store the language database to the car machine, and perform key encryption on the language database through an algorithm, so as to obtain the language database through key decryption subsequently.
Further, the determining module 304 is further configured to determine, by the vehicle machine, a speaking state of the user according to the identity information and the call information; and the car machine is used for judging whether the call state needs to be set as silence cancellation or not according to the speaking state. Wherein the speaking status comprises at least one of: the user needs to speak, the user needs to speak but is not suitable to speak, and the user is speaking.
Further, the identity information includes at least one of: a name of the user, a title of the user, and a position of the user. Based on this, the communication module 301 is further configured to, by the car machine, determine at least one keyword related to the identity information of the user according to the identity information, and store the at least one keyword. The determining module 304 is further configured to monitor, by the car machine, whether the call information includes the at least one keyword, and determine, based on a monitoring condition, a speech state of the user.
Further, the determining module 304 is further configured to determine, by the car machine, that the speaking state of the user is that the user needs to speak or that the user needs to speak but is not suitable for speaking, if the monitoring condition is that the conversation information includes the at least one keyword.
Further, the device further comprises a call environment information acquisition module, wherein the call environment information acquisition module is used for acquiring the running condition information of the vehicle and monitoring the voice information in the vehicle by the vehicle machine. The determining module 304 is further configured to, in response to that the voice information of the user is not detected within a first preset time and/or that the vehicle is currently in the complex road condition based on the driving condition, determine, by the vehicle machine, that the speaking state of the user is that the user needs to speak but is not suitable for speaking; and the car machine judges that the call state does not need to be set to mute cancellation.
Or, the determining module 304 is further configured to determine, in response to detecting the voice waveform signal of the user within a first preset time and determining that the vehicle is currently in a non-complex road condition based on the driving condition, that the vehicle machine determines that the speaking state of the user is that the user needs to speak; and the car machine is used for judging that the call state needs to be set to be mute cancellation.
Further, the call information further includes at least one of the following: the voice tone of the user and the speaking volume of the user. Based on this, the device still includes the people's voice information monitoring module for monitor the people's voice information in the vehicle, people's voice information includes in-vehicle people's voice color and in-vehicle people's voice volume. The determining module 304 is further configured to detect, by the vehicle machine, whether the sound color of the person in the vehicle includes the sound color of the person of the user according to the identity information and the sound color of the person of the user; if yes, the car machine judges whether the user speaks for the multi-person conversation according to the in-car voice volume and the speaking volume of the user; and if so, the car machine judges the speaking state of the user as that the user is speaking. The determining module 304 is further configured to continuously monitor, by the vehicle machine, the speech content of the user, analyze and compare the speech content with the call information of the multi-person call, and determine whether the speech content is matched with the call information; and if the speaking content is judged to be matched with the conversation information, judging that the conversation state needs to be set to be mute cancellation.
Further, the control module 305 is further configured to control the vehicle to automatically cancel the mute button or control the vehicle to prompt the user to manually cancel the mute button by the vehicle.
For specific limitations of the vehicle automatic mute cancellation apparatus, reference may be made to the above related limitations in the embodiment of the vehicle automatic mute cancellation method, and therefore, details thereof are not repeated herein. The modules in the automatic mute cancellation device for the vehicle can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
EXAMPLE III
The present application also provides a vehicle including the vehicle automatic mute cancellation apparatus, and an electronic device including a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein the processor executes the computer program to implement the vehicle automatic mute cancellation method.
As shown in fig. 4, in some embodiments, the system can be used as the electronic device for the vehicle automatic muting method in any one of the embodiments. In some embodiments, a system may include one or more computer-readable media (e.g., system memory or NVM/storage) having instructions and one or more processors (e.g., processor (s)) coupled with the one or more computer-readable media and configured to execute the instructions to implement modules to perform actions described herein.
For one embodiment, the system control module may include any suitable interface controller to provide any suitable interface to at least one of the processor(s) and/or to any suitable device or component in communication with the system control module.
The system control module may include a memory controller module to provide an interface to the system memory. The memory controller module may be a hardware module, a software module, and/or a firmware module.
System memory may be used, for example, to load and store data and/or instructions for the system. For one embodiment, the system memory may comprise any suitable volatile memory, such as suitable DRAM. In some embodiments, the system memory may include a double data rate type four synchronous dynamic random access memory (DDR4 SDRAM).
For one embodiment, the system control module may include one or more input/output (I/O) controllers to provide an interface to the NVM/storage and communication interface(s).
For example, the NVM/storage may be used to store data and/or instructions. The NVM/storage may include any suitable non-volatile memory (e.g., flash memory) and/or may include any suitable non-volatile storage device(s) (e.g., one or more hard disk drive(s) (HDD (s)), one or more Compact Disc (CD) drive(s), and/or one or more Digital Versatile Disc (DVD) drive (s)).
The NVM/storage may include storage resources that are physically part of the device on which the system is installed, or it may be accessible by the device and not necessarily part of the device. For example, the NVM/storage may be accessible over a network via the communication interface(s).
The communication interface(s) may provide an interface for the system to communicate over one or more networks and/or with any other suitable device. The system may wirelessly communicate with one or more components of the wireless network according to any of one or more wireless network standards and/or protocols.
For one embodiment, at least one of the processor(s) may be packaged together with logic for one or more controllers (e.g., memory controller modules) of the system control module. For one embodiment, at least one of the processor(s) may be packaged together with logic for one or more controllers of the system control module to form a System In Package (SiP). For one embodiment, at least one of the processor(s) may be integrated on the same die with logic for one or more controllers of the system control module. For one embodiment, at least one of the processor(s) may be integrated on the same die with logic of one or more controllers of a system control module to form a system on a chip (SoC).
In various embodiments, the system may be, but is not limited to being: a server, a workstation, a desktop computing device, or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet, a netbook, etc.). In various embodiments, the system may have more or fewer components and/or different architectures. For example, in some embodiments, a system includes one or more cameras, a keyboard, a Liquid Crystal Display (LCD) screen (including touch screen displays), a non-volatile memory port, multiple antennas, a graphics chip, an Application Specific Integrated Circuit (ASIC), and speakers.
It should be noted that the present application may be implemented in software and/or a combination of software and hardware, for example, implemented using Application Specific Integrated Circuits (ASICs), general purpose computers or any other similar hardware devices. In one embodiment, the software programs of the present application may be executed by a processor to implement the steps or functions described above. As such, the software programs (including associated data structures) of the present application can be stored in a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. Additionally, some of the steps or functions of the present application may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.
In addition, some of the present application may be implemented as a computer program product, such as computer program instructions, which when executed by a computer, may invoke or provide methods and/or techniques in accordance with the present application through the operation of the computer. Those skilled in the art will appreciate that the form in which the computer program instructions reside on a computer-readable medium includes, but is not limited to, source files, executable files, installation package files, and the like, and that the manner in which the computer program instructions are executed by a computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Computer-readable media herein can be any available computer-readable storage media or communication media that can be accessed by a computer.
Communication media includes media by which communication signals, including, for example, computer readable instructions, data structures, program modules, or other data, are transmitted from one system to another. Communication media may include conductive transmission media such as cables and wires (e.g., fiber optics, coaxial, etc.) and wireless (non-conductive transmission) media capable of propagating energy waves such as acoustic, electromagnetic, RF, microwave, and infrared. Computer readable instructions, data structures, program modules, or other data may be embodied in a modulated data signal, for example, in a wireless medium such as a carrier wave or similar mechanism such as is embodied as part of spread spectrum techniques. The term "modulated data signal" means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. The modulation may be analog, digital or hybrid modulation techniques.
An embodiment according to the present application comprises an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to perform a method and/or a solution according to the aforementioned embodiments of the present application.
Example four
In correspondence with the above embodiments, the present application further provides a computer-readable storage medium storing computer-executable instructions for executing the method for automatically canceling muting a vehicle.
In the present embodiment, computer-readable storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program modules, or other data. For example, computer-readable storage media include, but are not limited to, volatile memory such as random access memory (RAM, DRAM, SRAM); and non-volatile memory such as flash memory, various read-only memories (ROM, PROM, EPROM, EEPROM), magnetic and ferromagnetic/ferroelectric memories (MRAM, FeRAM); and magnetic and optical storage devices (hard disk, tape, CD, DVD); or other now known media or later developed that can store computer-readable information/data for use by a computer system.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all changes and modifications that fall within the true scope of the embodiments of the present application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (9)
1. A method for automatically canceling silence of a vehicle is applied to a vehicle machine, and is characterized by comprising the following steps:
responding to the connection between the vehicle machine and the mobile terminal, and the vehicle machine acquiring the identity information of the user of the mobile terminal;
the car machine detects a call state in response to the detection that the user carries out multi-person call through the car machine;
in response to the detection that the call state is silent, the car machine acquires call information of the multi-person call;
the car machine judges the speaking state of the user according to the identity information and the conversation information, wherein the speaking state comprises at least one of the following: the user needs to speak, the user needs to speak but is not suitable for speaking, and the user is speaking;
the car machine judges whether the conversation state needs to be set to be mute cancellation or not according to the speaking state;
if the call state needs to be set to mute cancellation, the vehicle machine controls the vehicle to execute corresponding operation;
wherein, in response to the car machine being connected to the mobile terminal, the car machine obtains the identity information of the user of the mobile terminal, including:
the car machine determines at least one keyword related to the identity information of the user according to the identity information, and stores the at least one keyword;
the said car machine according to said identity information and said conversation information, judge said user's state of speaking, including:
the car machine monitors whether the call information contains the at least one keyword or not, and judges the speaking state of the user based on the monitoring condition.
2. The vehicle automatic unmuting method according to claim 1, wherein the call information includes at least call contents of the multi-person call;
the car machine obtains the call information of the multi-person call, including:
and the car machine continuously monitors the conversation content of the multi-person conversation and analyzes the speaking content of each participant in the conversation content into a text record until the multi-person conversation is finished.
3. The method as claimed in claim 2, wherein the car machine continuously monitors the conversation contents of the multi-people conversation and parses the speaking contents of each participant in the conversation contents into a text record until the multi-people conversation is ended, comprising:
the car machine correspondingly creates a language database of each participant according to the character records of each participant, adds the character records of each participant to the corresponding language database, stores the language database to the car machine, and encrypts the language database by a secret key through an algorithm so as to obtain the language database through secret key decryption subsequently.
4. The vehicle automatic unmuting method according to claim 1, wherein the identity information comprises at least one of:
a name of the user, a title of the user, and a position of the user.
5. The method according to claim 4, wherein the monitoring, by the car machine, whether the call information includes the at least one keyword, and the determining, based on the monitoring, the speaking status of the user comprises:
if the monitoring condition is that the call information contains the at least one keyword, the car machine judges that the speaking state of the user is that the user needs to speak or the user needs to speak but is not suitable for speaking.
6. The method according to claim 5, wherein before the car machine monitors whether the call information includes the at least one keyword, and determines the speaking status of the user based on the monitoring condition, the method further comprises:
the vehicle machine acquires the running condition information of the vehicle and monitors the voice information in the vehicle;
the vehicle machine judges whether the speaking state of the user is that the user needs to speak or the user needs to speak but is not suitable for speaking, and the method comprises the following steps: in response to that the voice information of the user is not detected within a first preset time and/or the vehicle is determined to be in a complex road condition currently based on the running condition, the vehicle machine determines that the speaking state of the user is that the user needs to speak but is not suitable for speaking; the car machine judges whether the call state needs to be set to cancel silence according to the speech state, and the method comprises the following steps: the car machine judges that the call state does not need to be set to mute cancellation;
alternatively, the first and second electrodes may be,
the vehicle machine judges whether the speaking state of the user is that the user needs to speak or the user needs to speak but is not suitable for speaking, and the method comprises the following steps: responding to a voice waveform signal of the user detected within a first preset time and determining that the vehicle is currently in a non-complex road condition based on the running condition, and determining that the speaking state of the user is that the user needs to speak by the vehicle machine; the car machine judges whether the call state needs to be set to cancel silence according to the speech state, and the method comprises the following steps: and the car machine judges that the call state needs to be set to be mute cancellation.
7. The vehicle automatic unmuting method according to claim 1, wherein the call information further comprises at least one of: the voice tone of the user and the speaking volume of the user; before the car machine judges the speaking state of the user according to the identity information and the conversation information, the method further comprises the following steps:
monitoring the voice information in the vehicle, wherein the voice information comprises the voice color and the voice volume in the vehicle;
the said car machine according to said identity information and said conversation information, judge said user's state of speaking, including: the vehicle machine detects whether the human voice color in the vehicle contains the human voice color of the user according to the identity information and the human voice color of the user; if yes, the car machine judges whether the user speaks for the multi-person conversation according to the in-car voice volume and the speaking volume of the user; if so, the car machine judges the speaking state of the user as that the user is speaking;
the car machine judges whether the call state needs to be set to cancel silence according to the speech state, and the method comprises the following steps: the car machine continuously monitors the speech content of the user, analyzes and compares the speech content with the call information of the multi-person call, and judges whether the speech content is matched with the call information or not; and if the speaking content is judged to be matched with the conversation information, judging that the conversation state needs to be set to be mute cancellation.
8. The method for automatically canceling mute in a vehicle according to any one of claims 1 to 7, wherein if it is determined that the call state needs to be set as mute cancellation, the in-vehicle machine controls the vehicle to perform corresponding operations, including at least one of:
the vehicle machine controls the vehicle to automatically cancel the mute button or controls the vehicle machine to prompt a user to manually cancel the mute button.
9. An automatic silence canceling device for a vehicle, comprising:
the communication module is used for responding to the connection between a vehicle machine and the mobile terminal, and the vehicle machine acquires the identity information of a user of the mobile terminal;
the voice detection module is used for responding to the detection that the user carries out multi-person conversation through the car machine, and the car machine detects the conversation state;
the voice acquisition module is used for responding to the detection that the call state is mute, and the car machine acquires the call information of the multi-person call;
a judging module, configured to judge, by the car machine, a speaking state of the user according to the identity information and the call information, where the speaking state includes at least one of the following: the user needs to speak, the user needs to speak but is not suitable for speaking, and the user is speaking; the car machine is used for judging whether the call state needs to be set as silence cancellation or not according to the speaking state;
the control module is used for controlling the vehicle to execute corresponding operation if the call state needs to be set to mute cancellation;
the communication module is specifically used for the car machine to determine at least one keyword related to the identity information according to the identity information and store the at least one keyword; the judging module is specifically configured to monitor, by the car machine, whether the call information includes the at least one keyword, and judge, based on a monitoring condition, a speaking state of the user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210359940.4A CN114448951B (en) | 2022-04-07 | 2022-04-07 | Method and device for automatically canceling mute of vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210359940.4A CN114448951B (en) | 2022-04-07 | 2022-04-07 | Method and device for automatically canceling mute of vehicle |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114448951A CN114448951A (en) | 2022-05-06 |
| CN114448951B true CN114448951B (en) | 2022-07-01 |
Family
ID=81360141
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210359940.4A Active CN114448951B (en) | 2022-04-07 | 2022-04-07 | Method and device for automatically canceling mute of vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114448951B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115209362A (en) * | 2022-07-22 | 2022-10-18 | 长城汽车股份有限公司 | Method, device, equipment and storage medium for customizing vehicle for Internet of vehicles |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112261236A (en) * | 2020-09-29 | 2021-01-22 | 上海连尚网络科技有限公司 | Method and equipment for mute processing in multi-person voice |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4275841B2 (en) * | 2000-04-27 | 2009-06-10 | 京セラ株式会社 | In-vehicle communication control device |
| US8311196B2 (en) * | 2008-09-15 | 2012-11-13 | At&T Intellectual Property Ii, L.P. | Automatic mute detection |
| US9386147B2 (en) * | 2011-08-25 | 2016-07-05 | Verizon Patent And Licensing Inc. | Muting and un-muting user devices |
| JP6543460B2 (en) * | 2013-12-18 | 2019-07-10 | ハーマン インターナショナル インダストリーズ インコーポレイテッド | Voice recognition inquiry response system |
| US9282286B2 (en) * | 2014-03-06 | 2016-03-08 | Citrix Systems, Inc. | Participating in an online meeting while driving |
| WO2017220856A1 (en) * | 2016-06-23 | 2017-12-28 | Paumax Oy | Electronic accessory incorporating dynamic user-controlled audio muting capabilities, related methods and communications terminal |
| US10776073B2 (en) * | 2018-10-08 | 2020-09-15 | Nuance Communications, Inc. | System and method for managing a mute button setting for a conference call |
| CN110460729A (en) * | 2019-08-26 | 2019-11-15 | 延锋伟世通电子科技（南京）有限公司 | A kind of comprehensive voice interactive system of vehicle conference model and method |
-
2022
- 2022-04-07 CN CN202210359940.4A patent/CN114448951B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112261236A (en) * | 2020-09-29 | 2021-01-22 | 上海连尚网络科技有限公司 | Method and equipment for mute processing in multi-person voice |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114448951A (en) | 2022-05-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11630636B2 (en) | Changing companion communication device behavior based on status of wearable device | |
| US10984802B2 (en) | System for determining identity based on voiceprint and voice password, and method thereof | |
| CN104065836A (en) | Method and device for monitoring calls | |
| CN105205955A (en) | Method and device for sending out warning signal | |
| US20130297318A1 (en) | Speech recognition systems and methods | |
| CN109360549B (en) | Data processing method, wearable device and device for data processing | |
| CN107436680B (en) | Method and device for switching application mode of vehicle-mounted device | |
| CN105100363A (en) | Information processing method, information processing device and terminal | |
| CN108806714B (en) | Method and device for adjusting volume | |
| WO2021031308A1 (en) | Audio processing method and device, and storage medium | |
| CN114448951B (en) | Method and device for automatically canceling mute of vehicle | |
| CN112185388B (en) | Speech recognition method, device, equipment and computer readable storage medium | |
| US20190362709A1 (en) | Offline Voice Enrollment | |
| US10540985B2 (en) | In-vehicle media vocal suppression | |
| CN111462785A (en) | Recording control method, recording control device, storage medium and mobile terminal | |
| CN107135452A (en) | Audiphone adaptation method and device | |
| CN106462835A (en) | Calendar event creation method and device | |
| US9100821B2 (en) | Anti-eavesdropping communication system and method | |
| JP7240445B2 (en) | AUDIO PROCESSING METHOD, APPARATUS, TERMINAL AND STORAGE MEDIUM | |
| KR20140067687A (en) | Car system for interactive voice recognition | |
| JP2024510779A (en) | Voice control method and device | |
| CN113488043B (en) | Passenger speaking detection method and device, electronic equipment and storage medium | |
| US10535360B1 (en) | Phone stand using a plurality of directional speakers | |
| CN111580773B (en) | Information processing method, device and storage medium | |
| CN107707721B (en) | Recording method and device of mobile terminal, storage medium and mobile terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |