CN114999481A - Adapter system and method for adapting to multiple speech recognition engines - Google Patents
Adapter system and method for adapting to multiple speech recognition engines Download PDFInfo
- Publication number
- CN114999481A CN114999481A CN202210597321.9A CN202210597321A CN114999481A CN 114999481 A CN114999481 A CN 114999481A CN 202210597321 A CN202210597321 A CN 202210597321A CN 114999481 A CN114999481 A CN 114999481A
- Authority
- CN
- China
- Prior art keywords
- module
- voice recognition
- voice
- speech recognition
- recognition engines
- 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 31
- 210000001503 joint Anatomy 0.000 claims abstract description 11
- 230000003993 interaction Effects 0.000 claims description 14
- 230000006978 adaptation Effects 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 6
- 239000000126 substance Substances 0.000 claims 1
- 238000011161 development Methods 0.000 abstract description 11
- 238000012423 maintenance Methods 0.000 abstract description 6
- 230000006870 function Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000003032 molecular docking Methods 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/28—Constructional details of speech recognition systems
- G10L15/32—Multiple recognisers used in sequence or in parallel; Score combination systems therefor, e.g. voting systems
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
Landscapes
- Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Navigation (AREA)
Abstract
The invention provides an adapter system and an adapting method for adapting to a plurality of speech recognition engines, which comprises the following steps: the system comprises a voice recognition module, a service module, an adapter agent module and a module; the voice recognition module comprises SDKs of a plurality of voice recognition engines and is used for being in butt joint with the voice recognition engines so as to analyze voice information to be recognized through the voice recognition engines to obtain a semantic control instruction; the adapter agent module is used for defining functional interfaces of the application modules; the service module is used for issuing the semantic control instruction to the module based on the functional interfaces of the plurality of application modules; and the module is used for sending a control signal to the corresponding application module based on the semantic control instruction. The invention solves the technical problems of low project development efficiency and high maintenance cost in the prior art.
Description
Technical Field
The invention relates to the technical field of voice recognition engines, in particular to an adapter system and an adapter method for adapting to various voice recognition engines.
Background
With the development of science and technology and the continuous improvement of the living standard of people, the intelligent development of automobiles becomes a trend, wherein voice interaction in an on-board system becomes a main mode of man-machine interaction gradually. Voice interaction is one of leading-edge technologies of man-machine interaction in automobiles, and in recent years, the application of vehicle-mounted voice technology is continuously developed, and the functions are increasingly rich.
At present, a plurality of speech recognition engines exist, such as science news flyers, co-workers, cibys, nunchos, hectometers and the like, different vehicle-mounted systems exist, the used speech recognition engines may be different, and a speech adapter for butting the recognition engines is needed for the control function of speech realization. At present, one recognition engine needs one voice adapter for docking, different projects need one voice adapter, development efficiency in actual projects is low, and project maintenance cost is high.
Disclosure of Invention
In view of the above, the present invention provides an adapter system and an adaptation method for adapting to multiple speech recognition engines, so as to alleviate the technical problems of low project development efficiency and high maintenance cost in the prior art.
In a first aspect, an embodiment of the present invention provides an adapter system for adapting multiple speech recognition engines, including: the system comprises a voice recognition module, a service module, an adapter agent module and a module; the voice recognition module comprises SDKs of a plurality of voice recognition engines, and is used for being in butt joint with the voice recognition engines so as to analyze voice information to be recognized through the voice recognition engines to obtain a semantic control instruction; the adapter agent module is used for defining functional interfaces of a plurality of application modules; the service module is used for issuing the semantic control instruction to the module based on the functional interfaces of the application modules; and the module is used for sending a control signal to the corresponding application module based on the semantic control instruction.
Further, the application module includes: the system comprises a music module, a radio module, a picture module, a video module, a Bluetooth telephone module, a system setting module, an air conditioner module and a vehicle window module.
Further, the service module is further configured to issue the semantic control command to the module in a manner that an aid, a broadcast, or a carService issues a mcu command.
Furthermore, the service module is also used for state management of scene interaction.
In a second aspect, an embodiment of the present invention further provides an adaptation method for adapting multiple speech recognition engines, which is applied to the system in the first aspect; the method comprises the following steps: analyzing the voice information to be recognized through the voice recognition module to obtain a semantic control instruction; the semantic control command is issued to the module through the service module; and sending a control signal to the corresponding application module based on the semantic control instruction.
Further, before parsing the speech information to be recognized, the method further includes: and awakening the voice recognition module.
Further, analyzing the voice information to be recognized through the voice recognition module includes: interfacing a target speech recognition engine through an SDK of the plurality of speech recognition engines; the target speech recognition engine is one of the plurality of speech recognition engines; and analyzing the voice information to be recognized based on the target voice recognition engine.
Further, the issuing of the semantic control command to the module through the service module includes: and issuing the semantic control instruction to the module in a mode of issuing a mcu instruction by aid of broadcasting or carService.
In a third aspect, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method in the second aspect when executing the computer program.
In a fourth aspect, the present invention further provides a computer-readable medium having non-volatile program code executable by a processor, where the program code causes the processor to execute the method of the second aspect.
The embodiment of the invention provides an adapter system and an adapter method for adapting to various speech recognition engines, wherein a set of uniform interfaces is defined for interaction modules related to speech interaction in a vehicle-mounted system, and the functions of all the modules are realized by a speech adapter core module; each voice recognition engine is used as an independent module in the voice adapter and is in butt joint with the core service of the adapter; for different projects and different recognition engines, only the voice adapters need to be in unified butt joint, and the required recognition engine modules are compiled according to the needs of the projects, so that the project development efficiency is improved, and the technical problems of low project development efficiency and high maintenance cost in the prior art are solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic diagram of an adapter system for adapting multiple speech recognition engines according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of another adapter system for adapting multiple speech recognition engines, according to an embodiment of the present invention;
FIG. 3 is a flow chart of an adaptation method for adapting multiple speech recognition engines according to an embodiment of the present invention;
fig. 4 is a flowchart of another adaptation method for adapting multiple speech recognition engines according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The first embodiment is as follows:
FIG. 1 is a schematic diagram of an adapter system for adapting multiple speech recognition engines, according to an embodiment of the present invention. As shown in fig. 1, the system includes: a speech recognition module 10, a service module 20, an adapter agent module 30 and a module 40.
Specifically, the speech recognition module 10 includes an SDK of a plurality of speech recognition engines, and is configured to interface with the plurality of speech recognition engines, so as to analyze the speech information to be recognized through the plurality of speech recognition engines to obtain a semantic control instruction.
An adapter agent module 30 for defining functional interfaces of the plurality of application modules. Optionally, the application module comprises: the system comprises a music module, a radio module, a picture module, a video module, a Bluetooth telephone module, a system setting module, an air conditioner module and a vehicle window module.
The service module 20 is configured to issue the semantic control command to the module 40 based on the functional interfaces of the multiple application modules.
Optionally, the service module 20 is further configured to issue the semantic control command to the module 40 by means of aid l, broadcast, or carService issuing a mcu command.
Optionally, the service module 20 is also used for status management of scene interaction. For example, speech interacts with various scenarios such as reversing, telephoning, etc.
And the module 40 is used for sending a control signal to the corresponding application module based on the semantic control instruction.
The embodiment of the invention provides an adapter system adaptive to various speech recognition engines, which defines a set of uniform interfaces for interaction modules related to speech interaction in a vehicle-mounted system, and realizes the functions of each module by a speech adapter core module; each voice recognition engine is used as an independent module in the voice adapter and is in butt joint with the core service of the adapter; for different projects and different recognition engines, only the voice adapters need to be in unified butt joint, and the required recognition engine modules are compiled according to the needs of the projects, so that the project development efficiency is improved, and the technical problems of low project development efficiency and high maintenance cost in the prior art are solved.
Alternatively, fig. 2 is a schematic diagram of another adapter system for adapting multiple speech recognition engines according to an embodiment of the present invention. As shown in fig. 2, the system mainly includes a VR module, an AdapterProxy module, a Service module, and a moudlet module.
The VR (voice recognition) module relates to each voice recognition engine, each voice recognition engine can be used as an independent sub-module and comprises science news flyers, trainees, cibys, nuonss, hundredths and the like, the VR module is mainly integrated with the SDK of each voice recognition engine to realize butt joint with the voice recognition engines, specifically analyzes the semantics issued after the voice recognition by the voice engines, realizes the understanding of the semantics, converts the voices into understandable program languages and issues the understandable program languages to the Service module.
The AdapterProxy module mainly defines a set of unified functional interfaces of each module which needs to be realized by voice, and each module comprises modules such as music, a radio, pictures, videos, Bluetooth telephones, system setting, an air conditioner, a vehicle window and the like.
The Service module realizes the butt joint with the VR module and the Moudle module, and the Service module realizes the interfaces of all functional modules defined in the Adapterproxy module. The Service module receives the semantic control instruction issued by the VR module, and issues the instruction to the Moudle module through each functional module in a mode of issuing a mcu instruction by AIDL, broadcasting or carService. The Service module comprises state management of interaction of voice, reversing, telephone and other scenes.
The Moudle module is mainly connected with each application in a butt joint mode, and mainly relates to submodules such as music, a radio, pictures, videos, Bluetooth telephones, system setting, air conditioners, vehicle windows and the like, wherein each submodule issues instructions issued by Service to each application, and each application module realizes final functions.
Example two:
fig. 3 is a flowchart of an adaptation method for adapting multiple speech recognition engines according to an embodiment of the present invention, which is applied to the adapter system for adapting multiple speech recognition engines in the first embodiment. As shown in fig. 3, the method specifically includes the following steps:
step S302, analyzing the voice information to be recognized through the voice recognition module to obtain a semantic control instruction.
Specifically, the method comprises the following steps: docking a target speech recognition engine through the SDKs of the plurality of speech recognition engines; the target speech recognition engine is one of a plurality of speech recognition engines; and analyzing the voice information to be recognized based on the target voice recognition engine.
And step S304, sending the semantic control command to the module through the service module.
Specifically, the method comprises the following steps: and issuing the semantic control instruction to the module in a mode of issuing a mcu instruction by AIDL, broadcasting or carService.
And step S306, sending a control signal to the corresponding application module based on the semantic control instruction.
The embodiment of the invention provides an adaptation method for adapting multiple speech recognition engines, which defines a set of uniform interfaces for interaction modules related to speech interaction in a vehicle-mounted system, and realizes the functions of each module by a speech adapter core module; each voice recognition engine is used as an independent module in the voice adapter and is in butt joint with the core service of the adapter; for different projects and different recognition engines, the voice adapters only need to be connected in a unified mode, the needed recognition engine modules are compiled according to the needs of the projects, project development efficiency is improved, and the technical problems of low project development efficiency and high maintenance cost in the prior art are solved.
Optionally, in this embodiment of the present invention, before step S302, the method further includes: and awakening the voice recognition module.
Optionally, fig. 4 is a flowchart of another adaptation method for adapting multiple speech recognition engines according to an embodiment of the present invention. As shown in fig. 4, the method specifically includes the following steps:
step S401, when a certain function needs to be controlled by voice, the voice needs to be awakened first, the voice recognition engine is always in a recording state, some control instructions are output through the voice, and the voice recognition engine performs recording processing to convert the recording into a text instruction which can be understood.
Step S402, after the voice recognition engine recognizes the voice command, the voice recognition engine issues a control command, and the voice adapter receives the voice command by butting the voice recognition engine and analyzes the semantic command issued by the voice recognition engine.
Step S403, the voice adapter analyzes the control command issued by the voice, distinguishes the functional modules required to be controlled by the semantic command, communicates with the functional modules in the modes of android broadcasting, AIDL and the like according to the difference of the modules, and further issues the semantic command to the application modules.
Step S404, each functional module receives the instruction for realizing the function sent by the voice adapter, and realizes the function of the corresponding voice instruction according to the function required to be realized by the semantics.
The embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and when the processor executes the computer program, the steps of the method in the second embodiment of the present invention are implemented.
Embodiments of the present invention further provide a computer-readable medium having non-volatile program code executable by a processor, where the program code causes the processor to execute the method in the second embodiment of the present invention.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. An adapter system for adapting a plurality of speech recognition engines, comprising: the system comprises a voice recognition module, a service module, an adapter agent module and a module; wherein the content of the first and second substances,
the voice recognition module comprises SDKs of a plurality of voice recognition engines and is used for being in butt joint with the voice recognition engines so as to analyze voice information to be recognized through the voice recognition engines to obtain a semantic control instruction;
the adapter agent module is used for defining functional interfaces of a plurality of application modules;
the service module is used for issuing the semantic control instruction to the module based on the functional interfaces of the application modules;
and the module is used for sending a control signal to the corresponding application module based on the semantic control instruction.
2. The system of claim 1, wherein the application module comprises: the system comprises a music module, a radio module, a picture module, a video module, a Bluetooth telephone module, a system setting module, an air conditioner module and a vehicle window module.
3. The system according to claim 1, wherein the service module is further configured to issue the semantic control command to the module by means of aid, broadcast, or carService issuing a mcu command.
4. The system of claim 1, wherein the service module is further configured to manage a status of a scene interaction.
5. An adaptation method for adapting a plurality of speech recognition engines, characterized by being applied to the system of any one of claims 1-4; the method comprises the following steps:
analyzing the voice information to be recognized through the voice recognition module to obtain a semantic control instruction;
the semantic control command is issued to the module through the service module;
and sending a control signal to the corresponding application module based on the semantic control instruction.
6. The method of claim 5, wherein prior to parsing the speech information to be recognized, the method further comprises: and awakening the voice recognition module.
7. The method of claim 5, wherein parsing the speech information to be recognized by the speech recognition module comprises:
interfacing a target speech recognition engine through an SDK of the plurality of speech recognition engines; the target speech recognition engine is one of the plurality of speech recognition engines;
and analyzing the voice information to be recognized based on the target voice recognition engine.
8. The method of claim 5, wherein the sending the semantic control command to the module through the service module comprises: and issuing the semantic control instruction to the module in a mode of issuing a mcu instruction by aid of broadcasting or carService.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any of the preceding claims 5 to 8 are implemented when the computer program is executed by the processor.
10. A computer-readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform the method of any of claims 5-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210597321.9A CN114999481A (en) | 2022-05-30 | 2022-05-30 | Adapter system and method for adapting to multiple speech recognition engines |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210597321.9A CN114999481A (en) | 2022-05-30 | 2022-05-30 | Adapter system and method for adapting to multiple speech recognition engines |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114999481A true CN114999481A (en) | 2022-09-02 |
Family
ID=83028324
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210597321.9A Pending CN114999481A (en) | 2022-05-30 | 2022-05-30 | Adapter system and method for adapting to multiple speech recognition engines |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114999481A (en) |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020091515A1 (en) * | 2001-01-05 | 2002-07-11 | Harinath Garudadri | System and method for voice recognition in a distributed voice recognition system |
| US20080208585A1 (en) * | 2007-02-27 | 2008-08-28 | Soonthorn Ativanichayaphong | Ordering Recognition Results Produced By An Automatic Speech Recognition Engine For A Multimodal Application |
| US20140142945A1 (en) * | 2012-11-16 | 2014-05-22 | Qnx Software Systems Limited | Application Services Interface to ASR |
| US8793198B1 (en) * | 2011-11-16 | 2014-07-29 | The United States Of America As Represented By The Secretary Of The Navy | Autonomous semantic software agents and design method therefor, and online simulation apparatus using an inference engine |
| CN106601232A (en) * | 2017-01-04 | 2017-04-26 | 江西沃可视发展有限公司 | Vehicle mounted terminal oriented man-machine interaction system based on speech recognition |
| CN108509068A (en) * | 2018-03-21 | 2018-09-07 | 安徽咪鼠科技有限公司 | A kind of intelligent game mouse for realizing speech transcription based on speech recognition |
| KR20180131382A (en) * | 2017-05-31 | 2018-12-10 | 군산대학교산학협력단 | Operation Method for Stand-along Voice Recognition based Agent Module for Precise Motion Control of Robot and Autonomous Vehicles |
| CN110764791A (en) * | 2019-10-25 | 2020-02-07 | 网易（杭州）网络有限公司 | Channel adaptation method and device of applet and electronic equipment |
| CN111261160A (en) * | 2020-01-20 | 2020-06-09 | 联想(北京)有限公司 | Signal processing method and device |
| CN111459490A (en) * | 2020-03-11 | 2020-07-28 | 云知声智能科技股份有限公司 | Speech recognition engine transplanting method and device for automatically adapting hardware platform |
| CN112767942A (en) * | 2020-12-31 | 2021-05-07 | 北京云迹科技有限公司 | Speech recognition engine adaptation method and device, electronic equipment and storage medium |
| CN113571042A (en) * | 2021-07-22 | 2021-10-29 | 成都航盛智行科技有限公司 | Vehicle-mounted voice recognition system |
| CN113920995A (en) * | 2021-10-14 | 2022-01-11 | 上海仙塔智能科技有限公司 | Processing method and device of voice engine, electronic equipment and storage medium |
| CN114093363A (en) * | 2020-08-03 | 2022-02-25 | 南京奥拓电子科技有限公司 | Voice recognition assembly, pluggable voice recognition device and electronic equipment |
-
2022
- 2022-05-30 CN CN202210597321.9A patent/CN114999481A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020091515A1 (en) * | 2001-01-05 | 2002-07-11 | Harinath Garudadri | System and method for voice recognition in a distributed voice recognition system |
| US20080208585A1 (en) * | 2007-02-27 | 2008-08-28 | Soonthorn Ativanichayaphong | Ordering Recognition Results Produced By An Automatic Speech Recognition Engine For A Multimodal Application |
| US8793198B1 (en) * | 2011-11-16 | 2014-07-29 | The United States Of America As Represented By The Secretary Of The Navy | Autonomous semantic software agents and design method therefor, and online simulation apparatus using an inference engine |
| US20140142945A1 (en) * | 2012-11-16 | 2014-05-22 | Qnx Software Systems Limited | Application Services Interface to ASR |
| CN106601232A (en) * | 2017-01-04 | 2017-04-26 | 江西沃可视发展有限公司 | Vehicle mounted terminal oriented man-machine interaction system based on speech recognition |
| KR20180131382A (en) * | 2017-05-31 | 2018-12-10 | 군산대학교산학협력단 | Operation Method for Stand-along Voice Recognition based Agent Module for Precise Motion Control of Robot and Autonomous Vehicles |
| CN108509068A (en) * | 2018-03-21 | 2018-09-07 | 安徽咪鼠科技有限公司 | A kind of intelligent game mouse for realizing speech transcription based on speech recognition |
| CN110764791A (en) * | 2019-10-25 | 2020-02-07 | 网易（杭州）网络有限公司 | Channel adaptation method and device of applet and electronic equipment |
| CN111261160A (en) * | 2020-01-20 | 2020-06-09 | 联想(北京)有限公司 | Signal processing method and device |
| CN111459490A (en) * | 2020-03-11 | 2020-07-28 | 云知声智能科技股份有限公司 | Speech recognition engine transplanting method and device for automatically adapting hardware platform |
| CN114093363A (en) * | 2020-08-03 | 2022-02-25 | 南京奥拓电子科技有限公司 | Voice recognition assembly, pluggable voice recognition device and electronic equipment |
| CN112767942A (en) * | 2020-12-31 | 2021-05-07 | 北京云迹科技有限公司 | Speech recognition engine adaptation method and device, electronic equipment and storage medium |
| CN113571042A (en) * | 2021-07-22 | 2021-10-29 | 成都航盛智行科技有限公司 | Vehicle-mounted voice recognition system |
| CN113920995A (en) * | 2021-10-14 | 2022-01-11 | 上海仙塔智能科技有限公司 | Processing method and device of voice engine, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11854570B2 (en) | Electronic device providing response to voice input, and method and computer readable medium thereof | |
| CN106790938B (en) | Man-machine interaction vehicle-mounted system based on artificial intelligence | |
| CN110111789B (en) | Voice interaction method and device, computing equipment and computer readable medium | |
| CN106601232A (en) | Vehicle mounted terminal oriented man-machine interaction system based on speech recognition | |
| KR101820291B1 (en) | Apparatus and method for voice recognition device in vehicle | |
| CN110602566A (en) | Matching method, terminal and readable storage medium | |
| CN111833875B (en) | Embedded voice interaction system | |
| CN113380247A (en) | Multi-tone-zone voice awakening and recognizing method and device, equipment and storage medium | |
| CN114724564A (en) | Voice processing method, device and system | |
| CN111833870A (en) | Awakening method and device of vehicle-mounted voice system, vehicle and medium | |
| CN114999481A (en) | Adapter system and method for adapting to multiple speech recognition engines | |
| CN103187062A (en) | Vehicle-mounted data processing device and preservation service data processing system | |
| CN110400568B (en) | Awakening method of intelligent voice system, intelligent voice system and vehicle | |
| CN113643686A (en) | Voice broadcasting method, device, system, equipment and computer readable medium | |
| CN113362845B (en) | Method, apparatus, device, storage medium and program product for noise reduction of sound data | |
| WO2023051315A1 (en) | Application control method and apparatus, electronic device, and storage medium | |
| CN108631856A (en) | A kind of novel on-vehicle SOS voice help-asking systems | |
| CN113571042B (en) | Vehicle-mounted voice recognition system | |
| CN213534617U (en) | Extend on-vehicle intelligent car box of former car host computer function of car | |
| CN115424614A (en) | Human-computer interaction method and device, electronic equipment and vehicle | |
| CN115457943A (en) | Voice recognition broadcasting method, device and equipment and computer readable storage medium | |
| CN112203125A (en) | Voice broadcasting method and device, video playing device and storage medium | |
| CN118098229A (en) | Voice control method, device, vehicle and storage medium | |
| CN212473282U (en) | AI intelligent vehicle rear-view mirror | |
| CN117409779B (en) | Voice wakeup method, device, system and readable medium |
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 |