CN106847285B - Robot and voice recognition method thereof - Google Patents

Robot and voice recognition method thereof Download PDF

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Publication number
CN106847285B
CN106847285B CN201710208533.2A CN201710208533A CN106847285B CN 106847285 B CN106847285 B CN 106847285B CN 201710208533 A CN201710208533 A CN 201710208533A CN 106847285 B CN106847285 B CN 106847285B
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voice
information
user
robot
speech
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CN106847285A (en
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黄�俊
刘英杰
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Shanghai Siyixuan Robot Technology Co ltd
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Shanghai Siyixuan Robot Technology Co ltd
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • G10L15/1822Parsing for meaning understanding
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/26Speech to text systems
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223Execution procedure of a spoken command
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/226Procedures used during a speech recognition process, e.g. man-machine dialogue using non-speech characteristics

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  • 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)
  • Artificial Intelligence (AREA)
  • Manipulator (AREA)
  • Toys (AREA)

Abstract

The invention provides a robot and a voice recognition method thereof, which can monitor external information in real time while executing voice processing operation of voice recognition or language synthesis to determine whether the external information has awakening information; under the condition that the wake-up information exists in the external information, searching the control instruction corresponding to the wake-up information according to the preset corresponding relation between the wake-up information and the control instruction; then responding to the control instruction, and performing voice recognition on the voice currently input by the user; that is, when the robot performs speech recognition or speech synthesis, once it is detected that the wake-up information exists in the external information, the speech currently input by the user is subjected to speech recognition, and thus continuous recognition of the speech input by the user is achieved, and it is ensured that a speech command or a speech query newly issued by the user can be received.

Description

Robot and voice recognition method thereof
Technical Field
The invention relates to the technical field of robots, in particular to a robot and a voice recognition method thereof.
Background
The voice recognition technology is that a section of recording is converted into characters, then semantic analysis is carried out on the converted characters, semantic answers are generated through the semantic analysis, and then voice recognition is achieved.
With the development of science and technology, people's lives are more and more intelligent, and the application of robot technology is more and more extensive. The current robot generally applies a voice recognition technology to convert and analyze received voice information, and after obtaining a semantic answer, the robot can execute a corresponding task or perform language response through language synthesis.
However, in the current robot, if the user issues a voice command or a voice query again during the voice recognition or the speech synthesis, the robot keeps the current operation, and cannot perform continuous voice recognition, so that the current voice command or voice query of the user is missed.
Disclosure of Invention
In view of this, the present invention provides a robot and a voice recognition method thereof, so as to solve the problem that the robot in the prior art cannot perform continuous voice recognition.
In order to achieve the purpose, the technical scheme provided by the application is as follows:
a method of speech recognition of a robot, the method comprising:
monitoring external information in real time while executing voice processing operation; the speech processing operation is: speech recognition or speech synthesis;
under the condition that the outside information contains the awakening information, searching a control instruction corresponding to the awakening information according to a preset corresponding relation between the awakening information and the control instruction; the control instruction at least comprises voice recognition of the voice currently input by the user;
responding to the control instruction.
Preferably, the real-time monitoring of the external information includes: monitoring voice information in an external environment in real time; the awakening information is as follows: a wake-up word;
or, the real-time monitoring of the external information includes: acquiring image information in an external environment in real time; the awakening information is as follows: a wake-up gesture.
Preferably, the control instruction includes:
interrupting the voice processing operation, and performing voice recognition on the voice currently input by the user;
or maintaining the voice processing operation and simultaneously performing voice recognition on the voice currently input by the user.
Preferably, the performing speech recognition on the speech currently input by the user includes:
collecting the current input voice of a user and generating a recording;
converting the sound recording into characters;
and carrying out semantic analysis on the characters to obtain semantic answers.
Preferably, the acquiring the voice currently input by the user and generating the recording includes:
collecting and recording the current voice input by a user;
and if the voice is not collected again within the preset mute section time length after the last section of voice is collected, recording is finished, and the recording is generated.
A robot comprising a processor, the processor comprising:
the monitoring module is used for monitoring external information in real time while executing voice processing operation; the speech processing operation is: speech recognition or speech synthesis;
the searching module is used for searching the control instruction corresponding to the awakening information according to the preset corresponding relation between the awakening information and the control instruction under the condition that the awakening information exists in the external information; the control instruction at least comprises voice recognition of the voice currently input by the user;
and the response module is used for responding to the control instruction.
Preferably, when the monitoring module is used for monitoring external information in real time, the monitoring module is specifically used for: monitoring voice information in an external environment in real time; the awakening information is as follows: a wake-up word;
or, when the monitoring module is used for monitoring the external information in real time, the monitoring module is specifically used for: acquiring image information in an external environment in real time; the awakening information is as follows: a wake-up gesture.
Preferably, the processor further comprises:
the interrupt module is used for interrupting the voice processing operation before the response module carries out voice recognition on the voice currently input by the user;
or, a maintaining module, configured to maintain the voice processing operation while the response module performs voice recognition on a voice currently input by a user;
or, the robot further comprises:
another processor, configured to maintain the voice processing operation while the response module performs voice recognition on the voice currently input by the user.
Preferably, the response module is configured to, when responding to the control instruction, specifically:
collecting the current input voice of a user and generating a recording;
converting the sound recording into characters;
and carrying out semantic analysis on the characters to obtain semantic answers.
Preferably, the response module is configured to, when acquiring a voice currently input by a user and generating a recording, specifically:
collecting and recording the current voice input by a user;
and if the voice is not collected again within the preset mute section time length after the last section of voice is collected, recording is finished, and the recording is generated.
According to the scheme, the robot and the voice recognition method thereof provided by the invention have the advantages that the voice processing operation of voice recognition or language synthesis is executed, and meanwhile, the external information is monitored in real time to determine whether the awakening information exists in the external information; under the condition that the wake-up information exists in the external information, searching the control instruction corresponding to the wake-up information according to the preset corresponding relation between the wake-up information and the control instruction; then responding to the control instruction, and performing voice recognition on the voice currently input by the user; that is, when the robot performs speech recognition or speech synthesis, once it is detected that the wake-up information exists in the external information, the speech currently input by the user is subjected to speech recognition, and thus continuous recognition of the speech input by the user is achieved, and it is ensured that a speech command or a speech query newly issued by the user can be received.
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 description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a speech recognition method for a robot according to an embodiment of the present invention;
fig. 2 is a partial flowchart of a speech recognition method for a robot according to another embodiment of the present invention;
FIG. 3 is a block diagram of a processor according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram of a processor according to another embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
The invention provides a voice recognition method of a robot, which aims to solve the problem that the robot in the prior art cannot perform continuous voice recognition.
Referring to fig. 1, the speech recognition method of the robot includes:
s101, monitoring external information in real time while executing voice processing operation;
the voice processing operation is: speech recognition or speech synthesis;
when the robot is performing speech recognition on the previous speech input by the user, or when the robot is performing speech synthesis based on the result of the previous speech recognition, the user may issue a new speech command or speech query again, and therefore, in these cases, the robot needs to constantly keep monitoring for external information. In a specific practical application, after the robot is started, monitoring of external information can be maintained at all times to determine whether a user sends a voice command or a voice inquiry, and then subsequent operations are executed.
Preferably, the real-time monitoring of the external information can be realized by monitoring the voice information in the external environment in real time or by acquiring the image information in the external environment in real time; it is not specifically limited herein and is within the scope of the present application.
S102, under the condition that the wake-up information exists in the external information, finding out the control instruction corresponding to the wake-up information according to the preset corresponding relation between the wake-up information and the control instruction;
the control instruction at least comprises voice recognition of the voice currently input by the user;
specifically, after the user inputs a voice, the content expressed by the previous voice may be supplemented or modified, and at this time, the user may notify the robot through the wake-up information, and the robot needs to perform voice recognition again when a voice is to be input again.
When the real-time monitoring of the external information is realized by monitoring the voice information in the external environment in real time, the awakening information is as follows: the wake-up word, such as "hello", "wait for a little", etc., is not specifically limited herein, and may be set according to the language habit of the user.
When the real-time monitoring of the external information is realized by acquiring the image information in the external environment in real time, the awakening information is as follows: the waking gesture, such as swinging a hand, is not specifically limited herein, and may be set according to the operation habit of the user.
Of course, in a specific practical application, the wake-up message may also be set to other contents, which are not specifically limited herein and are within the protection scope of the present application depending on the specific application environment.
Before the robot is applied, a preset corresponding relation between the awakening information and the control instruction is set for the robot in advance, when the robot monitors the awakening information, the corresponding control instruction can be found, at least a new voice recognition operation is triggered, and then a voice command or a voice inquiry input by a user at present can be recognized in time.
And S103, responding to a control command.
After the corresponding control instruction is responded, the voice currently input by the user is subjected to voice recognition, and the latest input voice command or voice query of the user can be ensured to be received.
According to the voice recognition method of the robot, when the robot performs voice recognition or language synthesis, once the robot monitors that the wake-up information exists in the external information, voice recognition is performed on the voice currently input by the user, so that continuous recognition is achieved on the voice input by the user, and it is ensured that a voice command or a voice inquiry which is newly sent by the user can be received.
Another embodiment of the present invention further provides another speech recognition method for a robot, where based on the above embodiment and fig. 1, the control instruction includes:
interrupting voice processing operation, and performing voice recognition on the currently input voice of the user;
or, maintaining the voice processing operation and simultaneously performing voice recognition on the voice currently input by the user.
When the wake-up information exists in the monitored external information, the robot can directly interrupt the current voice processing operation, such as voice recognition or language synthesis; or, after outputting a preset voice prompt, such as a voice prompt like "please wait for a short time", the current operation may be interrupted; and then a new speech recognition is performed. The preset voice prompt can be set according to a specific application environment, and is not specifically limited herein and is within the protection scope of the present application.
Alternatively, speech recognition may be performed on the speech currently input by the user while maintaining the speech processing operation currently in progress. The specific application is not limited herein, and the scope of the present application is not limited thereto.
Preferably, the process of performing speech recognition on the speech currently input by the user, specifically referring to fig. 2, includes:
s201, collecting the current input voice of a user and generating a recording;
s202, converting the sound recording into characters;
and S203, performing semantic analysis on the characters to obtain semantic answers.
When the robot monitors that the user sends out the wake-up message, the robot starts to execute the steps in fig. 3 in sequence no matter whether the robot is performing speech recognition or speech synthesis, that is, the robot enters the speech recognition process.
Preferably, step S201 in fig. 2 includes:
collecting and recording the current voice input by a user;
and if the voice is not collected again within the preset mute section time length after the last section of voice is collected, recording is finished, and a recording is generated.
In a specific practical application, the time setting of the mute section can be performed for voice recognition, specifically, the time setting can include a preset front mute section and a preset rear mute section, the front mute section is set to wait for the voice input time of a user, and the set rear mute section is used for confirming the waiting time for finishing the voice input of the user; the two silent segments cannot be too long and not particularly short, too long being felt delayed and too short intercepting the speech input behind the user. The specific duration of the method can be determined according to the actual application environment, and is not specifically limited herein, and is within the protection scope of the present application.
In summary, it can be obtained that the voice recognition method of the robot constantly keeps monitoring external information, and when it is monitored that a user sends wake-up information, the current voice processing operation can be interrupted at any time, and a voice recognition process is entered, so as to realize a continuous voice recognition function of the robot; when the semantic answer is recognized, the corresponding language response is carried out through language synthesis.
Another embodiment of the present invention further provides a robot, including a processor, referring to fig. 3, including:
the monitoring module 101 is used for monitoring external information in real time while executing voice processing operation; the voice processing operation is: speech recognition or speech synthesis;
the searching module 102 is configured to search, when there is wakeup information in the external information, a control instruction corresponding to the wakeup information according to a preset corresponding relationship between the wakeup information and the control instruction; the control instruction at least comprises voice recognition of the voice currently input by the user;
and the response module 103 is used for responding to the control instruction.
Preferably, when the monitoring module 101 is used for monitoring the external information in real time, it is specifically configured to: monitoring voice information in an external environment in real time; the awakening information is as follows: a wake-up word;
or, when the monitoring module 101 is used for monitoring external information in real time, it is specifically configured to: acquiring image information in an external environment in real time; the awakening information is as follows: a wake-up gesture.
Preferably, the processor, referring to fig. 4, further includes:
an interruption module 104, configured to interrupt a voice processing operation before the response module performs voice recognition on a voice currently input by a user;
or, the maintaining module 105 is configured to maintain the voice processing operation while the response module performs voice recognition on the voice currently input by the user;
alternatively, the robot further comprises:
and the other processor is used for maintaining the voice processing operation while the response module carries out voice recognition on the voice currently input by the user.
Preferably, the response module 103 is configured to, when responding to the control instruction, specifically:
collecting the current input voice of a user and generating a recording;
converting the sound recording into characters;
and carrying out semantic analysis on the characters to obtain semantic answers.
Preferably, the response module 103 is configured to, when acquiring a voice currently input by a user and generating a recording, specifically:
collecting and recording the current voice input by a user;
and if the voice is not collected again within the preset mute section time length after the last section of voice is collected, recording is finished, and a recording is generated.
Other specific working principles are the same as those of the above embodiments, and are not described in detail here.
The embodiments of the invention are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments can be referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A method of speech recognition for a robot, the method comprising:
monitoring external information in real time while executing voice processing operation; the speech processing operation is: speech recognition or speech synthesis;
under the condition that the outside information contains the awakening information, searching a control instruction corresponding to the awakening information according to a preset corresponding relation between the awakening information and the control instruction; the control instruction at least comprises voice recognition of the voice currently input by the user;
responding to the control instruction.
2. The robot voice recognition method of claim 1, wherein the monitoring of the external information in real time comprises: monitoring voice information in an external environment in real time; the awakening information is as follows: a wake-up word;
or, the real-time monitoring of the external information includes: acquiring image information in an external environment in real time; the awakening information is as follows: a wake-up gesture.
3. The robot speech recognition method according to claim 1, wherein the control instruction includes:
interrupting the voice processing operation, and performing voice recognition on the voice currently input by the user;
or maintaining the voice processing operation and simultaneously performing voice recognition on the voice currently input by the user.
4. The robot speech recognition method according to any one of claims 1 to 3, wherein the performing speech recognition on the speech currently input by the user includes:
collecting the current input voice of a user and generating a recording;
converting the sound recording into characters;
and carrying out semantic analysis on the characters to obtain semantic answers.
5. The robot voice recognition method of claim 4, wherein the capturing a voice currently input by a user and generating a recording comprises:
collecting and recording the current voice input by a user;
and if the voice is not collected again within the preset mute section time length after the last section of voice is collected, recording is finished, and the recording is generated.
6. A robot comprising a processor, wherein the processor comprises:
the monitoring module is used for monitoring external information in real time while executing voice processing operation; the speech processing operation is: speech recognition or speech synthesis;
the searching module is used for searching the control instruction corresponding to the awakening information according to the preset corresponding relation between the awakening information and the control instruction under the condition that the awakening information exists in the external information; the control instruction at least comprises voice recognition of the voice currently input by the user;
and the response module is used for responding to the control instruction.
7. The robot according to claim 6, wherein the monitoring module is configured to, when monitoring the external information in real time, specifically: monitoring voice information in an external environment in real time; the awakening information is as follows: a wake-up word;
or, when the monitoring module is used for monitoring the external information in real time, the monitoring module is specifically used for: acquiring image information in an external environment in real time; the awakening information is as follows: a wake-up gesture.
8. The robot of claim 6, wherein the processor further comprises:
the interrupt module is used for interrupting the voice processing operation before the response module carries out voice recognition on the voice currently input by the user;
or, a maintaining module, configured to maintain the voice processing operation while the response module performs voice recognition on a voice currently input by a user;
or, the robot further comprises:
another processor, configured to maintain the voice processing operation while the response module performs voice recognition on the voice currently input by the user.
9. A robot as claimed in any of claims 6 to 8, wherein the response module, when responding to the control instruction, is configured to:
collecting the current input voice of a user and generating a recording;
converting the sound recording into characters;
and carrying out semantic analysis on the characters to obtain semantic answers.
10. A robot as claimed in claim 9, wherein the response module, when capturing speech currently input by the user and generating the recording, is configured to:
collecting and recording the current voice input by a user;
and if the voice is not collected again within the preset mute section time length after the last section of voice is collected, recording is finished, and the recording is generated.
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