CN116442939A - Method and device for automatically identifying language of vehicle-mounted system based on vehicle and user information - Google Patents
Method and device for automatically identifying language of vehicle-mounted system based on vehicle and user information Download PDFInfo
- Publication number
- CN116442939A CN116442939A CN202310339853.7A CN202310339853A CN116442939A CN 116442939 A CN116442939 A CN 116442939A CN 202310339853 A CN202310339853 A CN 202310339853A CN 116442939 A CN116442939 A CN 116442939A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- language
- driver
- voice information
- voice
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 47
- 230000008569 process Effects 0.000 claims description 16
- 230000001815 facial effect Effects 0.000 claims description 14
- 238000004590 computer program Methods 0.000 claims description 7
- 230000003993 interaction Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 6
- 230000003137 locomotive effect Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/037—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for occupant comfort, e.g. for automatic adjustment of appliances according to personal settings, e.g. seats, mirrors, steering wheel
- B60R16/0373—Voice control
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Navigation (AREA)
Abstract
The invention belongs to the technical field of vehicle man-machine interaction, and provides a method and a device for automatically identifying a vehicle-machine system language based on vehicle and user information. The method for automatically identifying the language of the vehicle-mounted system based on the vehicle and the user information comprises the steps of judging whether voice information is received before the vehicle is started, and determining the language of the vehicle-mounted system according to a judging result; when voice information is received before the vehicle is started and the voice information is judged to come from a driver, the language to which the voice information of the driver belongs is used as a vehicle-to-machine system language; when the voice information is not received before the vehicle is started, the official language of the area to which the vehicle belongs before the vehicle is started is used as the vehicle-machine system language. The method can realize automatic system language setting by means of the sensor setting of the original vehicle without installing additional sensor hardware.
Description
Technical Field
The invention belongs to the technical field of vehicle man-machine interaction, and particularly relates to a method and a device for automatically identifying a vehicle-machine system language based on vehicle and user information.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The current automobile instrument and the system language displayed on the large screen are all set through manual selection of a user, so that some trouble is brought to the user in use, the settings are fixed, and if the language system of the user is different, some trouble is brought to the user in use.
Meanwhile, for vehicle manufacturers, when the vehicles are required to export different countries and regions, the common practice is to preset system language options in advance for the export regions in a fixed configuration mode, and when the export regions are changed, the configuration needs to be changed, on one hand, the configuration program needs to be changed, and additional workload is generated; on the other hand, the current system language setting is set manually or is carried out by selecting a language according to geographic position information, the form is single, the mode required by the current user cannot be accurately realized, and when the voices of the vehicle-mounted system are not matched, the problem of poor user experience is caused.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides a method and a device for automatically identifying the language of a vehicle-mounted system based on vehicle and user information, which can realize the automatic setting of the language of the system by means of the sensor setting of the original vehicle without installing additional sensor hardware.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the first aspect of the invention provides a method for automatically identifying the language of a vehicle-to-machine system based on vehicle and user information.
In one or more embodiments, a method of automatically identifying a vehicle-to-machine system language based on vehicle and user information, includes:
judging whether voice information is received before the vehicle is started, and determining the language of the vehicle-mounted system according to a judging result;
when voice information is received before the vehicle is started and the voice information is judged to come from a driver, the language to which the voice information of the driver belongs is used as a vehicle-to-machine system language;
when the voice information is not received before the vehicle is started, the official language of the area to which the vehicle belongs before the vehicle is started is used as the vehicle-machine system language.
The technical scheme has the advantages that on the premise of not adding extra sensor hardware, whether the voice information is received before the vehicle is started or not is judged through analysis, whether the voice information is from a driver or not is determined, the language of the vehicle-to-machine system is further determined, a configuration program is not required to be changed, and therefore extra additional workload is not generated; the language mode of the car system required by the current user can be automatically and accurately realized, and the problem of poor user experience caused by mismatching of the speech of the car system is avoided.
When the vehicle system language is the official language of the area where the vehicle is located before starting, whether the voice information is received is dynamically judged in the running process of the vehicle, and when the voice information is received and judged to come from a driver, the vehicle system language is immediately updated, and the language to which the voice information of the driver belongs is taken as the vehicle system language.
The technical scheme has the advantages that in the running process of the vehicle, the language of the voice information of the driver is used as the highest priority to set the language of the vehicle-to-vehicle system through dynamic judgment and analysis of the voice information, so that the personalized setting of the voice of the vehicle-to-vehicle system is realized, and the experience of a locomotive user is improved.
As one embodiment, the process of judging whether the current voice information is from the driver is:
acquiring voice information and driver video information in a vehicle, and respectively extracting voice characteristics and driver facial characteristics;
and comparing the extracted voice characteristics with the known voice characteristics of the driver, and judging whether the current voice information comes from the driver or not by combining the facial characteristics of the driver.
The technical scheme has the advantages that the belongings of the voice information are comprehensively judged through the voice characteristics and the facial characteristics of the driver, the judgment accuracy is improved, and a data foundation is laid for accurately setting the language of the vehicle-mounted system.
In one embodiment, if the current voice message is not from the driver, the official language of the region to which the current geographic location of the vehicle belongs is used as the vehicle-to-machine system language.
The technical scheme has the advantages that on the premise that the voice information of the driver is not detected, the official language of the region where the current geographic position of the vehicle belongs is used as the initial language of the vehicle-to-machine system, so that the vehicle can be matched with the current region language, and the unified setting of the vehicle-to-machine system language is met.
In a second aspect, the invention provides an apparatus for automatically recognizing a vehicle-to-machine system language based on vehicle and user information.
In one or more embodiments, an apparatus for automatically identifying a vehicle-to-machine system language based on vehicle and user information, comprising:
a voice information receiving judging module for judging whether voice information is received before the vehicle is started;
the vehicle-mounted system language determining module is used for determining the vehicle-mounted system language according to the judging result;
the language determining module of the car machine system is further used for:
when voice information is received before the vehicle is started and the voice information is judged to come from a driver, the language to which the voice information of the driver belongs is used as a vehicle-to-machine system language;
when the voice information is not received before the vehicle is started, the official language of the area to which the vehicle belongs before the vehicle is started is used as the vehicle-machine system language.
As an embodiment, in the vehicle-mounted system language determining module:
when the vehicle system language is the official language of the area where the vehicle is located before starting, dynamically judging whether voice information is received or not in the running process of the vehicle, and when the voice information is received and judged to come from a driver, immediately updating the vehicle system language, and taking the language of the driver voice information as the vehicle system language.
As an embodiment, in the vehicle-mounted system language determining module:
the process of judging whether the current voice information comes from the driver is as follows:
acquiring voice information and driver video information in a vehicle, and respectively extracting voice characteristics and driver facial characteristics;
and comparing the extracted voice characteristics with the known voice characteristics of the driver, and judging whether the current voice information comes from the driver or not by combining the facial characteristics of the driver.
As an embodiment, in the vehicle-mounted system language determining module:
if the current voice information is not from the driver, the official language of the area where the current geographic position of the vehicle belongs is taken as the vehicle-machine system language.
In one or more embodiments, an apparatus for automatically identifying a vehicle-to-machine system language based on vehicle and user information, comprising: the device comprises an audio receiver, a positioning controller, a video information collector and a voice setting processor;
the audio receiver is used for detecting voice information in real time and transmitting the voice information to the voice setting processor;
the video information collector is used for collecting video information of a driver and transmitting the video information to the voice setting processor;
the positioning controller is used for transmitting geographic position information of the area to which the vehicle belongs before starting to the voice setting processor;
the voice setting processor is configured to perform the steps in the method for automatically recognizing the language of the vehicle-to-machine system based on the vehicle and the user information as described above.
A third aspect of the present invention provides a computer-readable storage medium.
In one or more embodiments, a computer readable storage medium has a computer program stored thereon that when executed by a processor performs the steps in a method for automatically identifying a vehicle system language based on vehicle and user information as described above.
Compared with the prior art, the invention has the beneficial effects that:
on the premise of not adding additional sensor hardware, whether voice information is received before the vehicle is started or not is judged through analysis, whether the voice information comes from a driver or not is determined, the language of a vehicle system is further determined, a configuration program is not required to be changed, and therefore additional workload is not generated; the language mode of the car system required by the current user can be automatically and accurately realized, and the problem of poor user experience caused by mismatching of the speech of the car system is avoided.
Additional aspects of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention.
FIG. 1 is a flow chart of a method for automatically identifying a vehicle-to-machine system language based on vehicle and user information according to a first embodiment of the invention;
FIG. 2 is a schematic diagram of a device for automatically recognizing a language of a vehicle-mounted system based on vehicle and user information according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of an apparatus for automatically recognizing a language of a vehicle system based on vehicle and user information according to a third embodiment of the present invention.
Detailed Description
The invention will be further described with reference to the drawings and examples.
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
Example 1
The following describes in detail the implementation of a method for automatically recognizing the language of the vehicle system based on the vehicle and the user information, with reference to fig. 1.
According to fig. 1, the method for automatically identifying the language of the vehicle-mounted system based on the vehicle and the user information specifically comprises the following steps: and judging whether voice information is received before the vehicle is started, and determining the language of the vehicle-mounted system according to the judging result.
Here, the voice information may include driver-only voice information, passenger-only voice information, or mixed voice information of the driver and the passenger.
The voice information can be acquired by an audio receiver of the vehicle.
Specifically, when voice information is received before the vehicle is started and the voice information is judged to come from a driver, the language to which the driver voice information belongs is used as a vehicle-to-machine system language;
when the voice information is not received before the vehicle is started, the official language of the area to which the vehicle belongs before the vehicle is started is used as the vehicle-machine system language.
For example:
when the voice information is received before the vehicle is started and the voice information is judged to come from the driver, the English is taken as the vehicle system language assuming that the language to which the driver voice information belongs is English.
When no voice information is received before the vehicle is started, the current geographic position of the vehicle is acquired, and if the current geographic position of the vehicle is Paris in France and the official language of Paris in France is French, then French is taken as a vehicle machine system language.
It should be noted that, the current geographic position of the vehicle may be obtained through a positioning controller of the vehicle.
In some implementations, the process of determining whether the current voice message is from the driver is:
acquiring voice information and driver video information in a vehicle, and respectively extracting voice characteristics and driver facial characteristics;
and comparing the extracted voice characteristics with the known voice characteristics of the driver, and judging whether the current voice information comes from the driver or not by combining the facial characteristics of the driver.
Therefore, the belongings of the voice information are comprehensively judged through the voice characteristics and the facial characteristics of the driver, the judgment accuracy is improved, and a data foundation is laid for accurately setting the language of the vehicle-mounted system.
If the current voice information is not from the driver, the official language of the area where the current geographic position of the vehicle belongs is taken as the vehicle-machine system language. On the premise that the voice information of the driver is not detected, the official language of the region where the current geographic position of the vehicle belongs is used as the initial language of the vehicle-to-machine system, so that the vehicle can be matched with the current region language, and unified setting of the vehicle-to-machine system language is met.
In some specific implementation processes, when the vehicle system language is an official language of the region to which the vehicle belongs before starting, dynamically judging whether voice information is received or not in the running process of the vehicle, and when the voice information is received and judged to come from a driver, immediately updating the vehicle system language, and taking the language to which the driver voice information belongs as the vehicle system language. In the running process of the vehicle, the language of the driver voice information is used as the highest priority to set the language of the vehicle-machine system through dynamic judgment and analysis of the voice information, so that personalized setting of the voice of the vehicle-machine system is realized, and the experience of a locomotive user is improved.
On the premise of not adding additional sensor hardware, the method and the device for determining the voice information of the vehicle are used for judging whether voice information is received before the vehicle is started or not through analysis and determining whether the voice information is from a driver or not, and further determining the language of the vehicle system, so that a configuration program is not required to be changed, and additional workload is not generated; the language mode of the car system required by the current user can be automatically and accurately realized, and the problem of poor user experience caused by mismatching of the speech of the car system is avoided.
Example two
Referring to fig. 2, the present embodiment provides an apparatus for automatically recognizing a language of a vehicle-to-machine system based on vehicle and user information, which includes: the voice information receiving and judging module and the vehicle-mounted system language determining module.
The voice information receiving and judging module is used for judging whether voice information is received before the vehicle is started.
The vehicle-mounted system language determining module is used for determining the vehicle-mounted system language according to the judging result.
The language determining module of the car machine system is further used for:
when voice information is received before the vehicle is started and the voice information is judged to come from a driver, the language to which the voice information of the driver belongs is used as a vehicle-to-machine system language;
when the voice information is not received before the vehicle is started, the official language of the area to which the vehicle belongs before the vehicle is started is used as the vehicle-machine system language.
In the implementation process, in the vehicle-mounted system language determining module:
when the vehicle system language is the official language of the area where the vehicle is located before starting, dynamically judging whether voice information is received or not in the running process of the vehicle, and when the voice information is received and judged to come from a driver, immediately updating the vehicle system language, and taking the language of the driver voice information as the vehicle system language.
Specifically, in the vehicle-to-machine system language determination module:
the process of judging whether the current voice information comes from the driver is as follows:
acquiring voice information and driver video information in a vehicle, and respectively extracting voice characteristics and driver facial characteristics;
and comparing the extracted voice characteristics with the known voice characteristics of the driver, and judging whether the current voice information comes from the driver or not by combining the facial characteristics of the driver.
Wherein, in the vehicle-mounted system language determining module:
if the current voice information is not from the driver, the official language of the area where the current geographic position of the vehicle belongs is taken as the vehicle-machine system language.
It should be noted that, each module in the embodiment corresponds to each step in the first embodiment one to one, and the implementation process is the same, which is not described here.
On the premise of not adding additional sensor hardware, the method and the device for determining the voice information of the vehicle are used for judging whether voice information is received before the vehicle is started or not through analysis and determining whether the voice information is from a driver or not, and further determining the language of the vehicle system, so that a configuration program is not required to be changed, and additional workload is not generated; the language mode of the car system required by the current user can be automatically and accurately realized, and the problem of poor user experience caused by mismatching of the speech of the car system is avoided.
Example III
Referring to fig. 3, the present embodiment provides an apparatus for automatically recognizing a language of a vehicle-to-machine system based on vehicle and user information, which includes: an audio receiver, a positioning controller, a video information collector and a voice setting processor.
Wherein:
the audio receiver is used for detecting voice information in real time and transmitting the voice information to the voice setting processor;
the video information collector is used for collecting video information of a driver and transmitting the video information to the voice setting processor;
the positioning controller is used for transmitting geographic position information of the area to which the vehicle belongs before starting to the voice setting processor;
the voice setting processor is configured to perform the steps in the method for automatically recognizing the language of the vehicle-to-machine system based on the vehicle and the user information as described above.
The implementation of the method for automatically identifying the language of the vehicle system based on the vehicle and the user information is as described in the first embodiment, and will not be described in detail herein.
On the premise of not adding additional sensor hardware, the method and the device for determining the voice information of the vehicle are used for judging whether voice information is received before the vehicle is started or not through analysis and determining whether the voice information is from a driver or not, and further determining the language of the vehicle system, so that a configuration program is not required to be changed, and additional workload is not generated; the language mode of the car system required by the current user can be automatically and accurately realized, and the problem of poor user experience caused by mismatching of the speech of the car system is avoided.
Example IV
The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps in the method of automatically identifying a vehicle-to-machine system language based on vehicle and user information as described above.
The implementation of the method for automatically identifying the language of the vehicle system based on the vehicle and the user information is as described in the first embodiment, and will not be described in detail herein.
On the premise of not adding additional sensor hardware, the method and the device for determining the voice information of the vehicle are used for judging whether voice information is received before the vehicle is started or not through analysis and determining whether the voice information is from a driver or not, and further determining the language of the vehicle system, so that a configuration program is not required to be changed, and additional workload is not generated; the language mode of the car system required by the current user can be automatically and accurately realized, and the problem of poor user experience caused by mismatching of the speech of the car system is avoided.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), or the like.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for automatically identifying a vehicle-to-machine system language based on vehicle and user information, comprising:
judging whether voice information is received before the vehicle is started, and determining the language of the vehicle-mounted system according to a judging result;
when voice information is received before the vehicle is started and the voice information is judged to come from a driver, the language to which the voice information of the driver belongs is used as a vehicle-to-machine system language;
when the voice information is not received before the vehicle is started, the official language of the area to which the vehicle belongs before the vehicle is started is used as the vehicle-machine system language.
2. The method for automatically recognizing a vehicle-mounted system language based on vehicle and user information according to claim 1, wherein when the vehicle-mounted system language is an official language of a region to which the vehicle belongs before starting, it is dynamically judged whether the voice information is received or not during the running of the vehicle, and when the voice information is received and the voice information is judged to come from the driver, the vehicle-mounted system language is immediately updated, and the language to which the driver voice information belongs is regarded as the vehicle-mounted system language.
3. The method for automatically recognizing a language of a vehicle-to-machine system based on vehicle and user information according to claim 1 or 2, wherein the process of judging whether the current voice information is from the driver is:
acquiring voice information and driver video information in a vehicle, and respectively extracting voice characteristics and driver facial characteristics;
and comparing the extracted voice characteristics with the known voice characteristics of the driver, and judging whether the current voice information comes from the driver or not by combining the facial characteristics of the driver.
4. The method for automatically recognizing a vehicle-to-machine language based on vehicle and user information according to claim 1 or 2, wherein if the current voice information is not from the driver, an official language of a region to which the current geographic position of the vehicle belongs is taken as the vehicle-to-machine language.
5. An apparatus for automatically recognizing a language of a vehicle-to-machine system based on vehicle and user information, comprising:
a voice information receiving judging module for judging whether voice information is received before the vehicle is started;
the vehicle-mounted system language determining module is used for determining the vehicle-mounted system language according to the judging result;
the language determining module of the car machine system is further used for:
when voice information is received before the vehicle is started and the voice information is judged to come from a driver, the language to which the voice information of the driver belongs is used as a vehicle-to-machine system language;
when the voice information is not received before the vehicle is started, the official language of the area to which the vehicle belongs before the vehicle is started is used as the vehicle-machine system language.
6. The apparatus for automatically recognizing a vehicle-to-vehicle system language based on vehicle and user information according to claim 5, wherein in the vehicle-to-vehicle system language determination module:
when the vehicle system language is the official language of the area where the vehicle is located before starting, dynamically judging whether voice information is received or not in the running process of the vehicle, and when the voice information is received and judged to come from a driver, immediately updating the vehicle system language, and taking the language of the driver voice information as the vehicle system language.
7. The apparatus for automatically recognizing a vehicle-to-vehicle system language based on vehicle and user information according to claim 5 or 6, wherein in the vehicle-to-vehicle system language determination module:
the process of judging whether the current voice information comes from the driver is as follows:
acquiring voice information and driver video information in a vehicle, and respectively extracting voice characteristics and driver facial characteristics;
and comparing the extracted voice characteristics with the known voice characteristics of the driver, and judging whether the current voice information comes from the driver or not by combining the facial characteristics of the driver.
8. The apparatus for automatically recognizing a vehicle-to-vehicle system language based on vehicle and user information according to claim 5 or 6, wherein in the vehicle-to-vehicle system language determination module:
if the current voice information is not from the driver, the official language of the area where the current geographic position of the vehicle belongs is taken as the vehicle-machine system language.
9. An apparatus for automatically recognizing a language of a vehicle-to-machine system based on vehicle and user information, comprising: the device comprises an audio receiver, a positioning controller, a video information collector and a voice setting processor;
the audio receiver is used for detecting voice information in real time and transmitting the voice information to the voice setting processor;
the video information collector is used for collecting video information of a driver and transmitting the video information to the voice setting processor;
the positioning controller is used for transmitting geographic position information of the area to which the vehicle belongs before starting to the voice setting processor;
the speech setting processor is configured to perform the steps in the method for automatically recognizing a vehicle-to-machine system language based on vehicle and user information as claimed in any one of claims 1 to 4.
10. A computer readable storage medium having stored thereon a computer program, which when executed by a processor performs the steps in the method of automatically identifying a vehicle system language based on vehicle and user information as claimed in any one of claims 1 to 4.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310339853.7A CN116442939A (en) | 2023-03-30 | 2023-03-30 | Method and device for automatically identifying language of vehicle-mounted system based on vehicle and user information |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310339853.7A CN116442939A (en) | 2023-03-30 | 2023-03-30 | Method and device for automatically identifying language of vehicle-mounted system based on vehicle and user information |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116442939A true CN116442939A (en) | 2023-07-18 |
Family
ID=87119500
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310339853.7A Pending CN116442939A (en) | 2023-03-30 | 2023-03-30 | Method and device for automatically identifying language of vehicle-mounted system based on vehicle and user information |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116442939A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117055999A (en) * | 2023-08-11 | 2023-11-14 | 重庆蓝鲸智联科技有限公司 | Method for realizing default language configuration of Android vehicle-mounted system |
-
2023
- 2023-03-30 CN CN202310339853.7A patent/CN116442939A/en active Pending
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117055999A (en) * | 2023-08-11 | 2023-11-14 | 重庆蓝鲸智联科技有限公司 | Method for realizing default language configuration of Android vehicle-mounted system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107199971B (en) | Vehicle-mounted voice interaction method, terminal and computer readable storage medium | |
US10083685B2 (en) | Dynamically adding or removing functionality to speech recognition systems | |
US9552519B2 (en) | Providing vehicle owner's manual information using object recognition in a mobile device | |
CN109285543A (en) | A kind of vehicle-mounted multimedia navigating instrument voice automatization test system | |
US20170162191A1 (en) | Prioritized content loading for vehicle automatic speech recognition systems | |
EP1591979A1 (en) | Vehicle mounted controller | |
KR101736109B1 (en) | Speech recognition apparatus, vehicle having the same, and method for controlling thereof | |
US9466158B2 (en) | Interactive access to vehicle information | |
CN110019740B (en) | Interaction method of vehicle-mounted terminal, server and storage medium | |
CN112309380B (en) | Voice control method, system, equipment and automobile | |
CN108564945B (en) | Vehicle-mounted voice control method and device, electronic equipment and storage medium | |
CN112614491B (en) | Vehicle-mounted voice interaction method and device, vehicle and readable medium | |
US20180233135A1 (en) | Enhanced voice recognition task completion | |
CN107444317B (en) | Automobile skylight control method and system | |
CN102202082A (en) | Vehicle-mounted communication system and method | |
CN107878370A (en) | A kind of control method and device of vehicle | |
US9830925B2 (en) | Selective noise suppression during automatic speech recognition | |
CN110556113A (en) | Vehicle control method based on voiceprint recognition and cloud server | |
CN116442939A (en) | Method and device for automatically identifying language of vehicle-mounted system based on vehicle and user information | |
CN104943626A (en) | Vehicle failure auxiliary system and auxiliary method for vehicle failure auxiliary system | |
CN114387963A (en) | Vehicle and control method thereof | |
CN109017559A (en) | The method and apparatus for generating prompt information | |
CN101645716A (en) | Vehicle-borne communication system having voice recognition function and recognition method thereof | |
CN111681651A (en) | Agent device, agent system, server device, agent device control method, and storage medium | |
JP2003509705A (en) | Voice recognition method and voice recognition device |
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 |