CN115497474A - Control method based on voice recognition - Google Patents
Control method based on voice recognition Download PDFInfo
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- CN115497474A CN115497474A CN202211110550.XA CN202211110550A CN115497474A CN 115497474 A CN115497474 A CN 115497474A CN 202211110550 A CN202211110550 A CN 202211110550A CN 115497474 A CN115497474 A CN 115497474A
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- 230000005236 sound signal Effects 0.000 claims description 24
- 238000012545 processing Methods 0.000 claims description 19
- 238000006243 chemical reaction Methods 0.000 claims description 9
- 238000007791 dehumidification Methods 0.000 claims description 3
- 238000010438 heat treatment Methods 0.000 claims description 3
- 238000005057 refrigeration Methods 0.000 claims description 2
- 230000015572 biosynthetic process Effects 0.000 claims 1
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- 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
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- 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
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
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- 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
- G10L15/20—Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech
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- 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
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/2803—Home automation networks
- H04L12/2816—Controlling appliance services of a home automation network by calling their functionalities
- H04L12/282—Controlling appliance services of a home automation network by calling their functionalities based on user interaction within the home
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- 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
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- 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
- G10L2015/225—Feedback of the input speech
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- Audiology, Speech & Language Pathology (AREA)
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- Acoustics & Sound (AREA)
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Abstract
The invention discloses a control method based on voice recognition, which comprises the following steps: s1, inserting a plug into a socket, S2, receiving a voice command sent by a user by a receiving unit, S3, feeding back the voice command to the user by a feedback unit in a voice broadcasting mode, and S4, converting a control signal into a switching signal or an adjusting signal by a converting unit; s5, when the control signal is converted into a switch signal, the control unit controls the household appliances to be turned on or off, the noise filtering module and the semantic error correction module are additionally arranged, noise filtering and semantic error correction of voice instructions of a user are achieved, the definition of voice signals input by the user during voice recognition is greatly improved, the accuracy of the voice recognition is further improved, the obtained voice recognition result is more accurate, the adjusting unit is additionally arranged, temperature adjustment can be performed on the household appliances such as a refrigerator, a water heater and an air conditioner, various brightness degrees of electric lamps can be adjusted, and convenience of intelligent home control is improved.
Description
Technical Field
The invention belongs to the field of smart home, particularly relates to a smart socket with voice recognition, and more particularly relates to a control method based on voice recognition.
Background
The intelligent home is characterized in that the intelligent home is formed by connecting various devices in the home together by using a house as a platform through the Internet of things technology, so that an intelligent living environment is realized, the intelligent home integrates facilities related to home life by using a comprehensive wiring technology, a network communication technology, a safety precaution technology, an automatic control technology and an audio and video technology, a high-efficiency management system for home facilities and family schedule affairs is constructed, and the home safety, convenience, comfortableness and artistry are improved;
the intelligent home is mainly realized through a voice recognition module, after network configuration is completed, the voice recognition module recognizes a voice instruction of a user, and then the household appliance is turned on or off through an execution unit.
The current control method for the household appliances based on the voice recognition lacks a noise filtering function and a semantic error correction function, so that the voice command recognition process of a user is slow by a voice recognition module, delay exists, recognition errors can occur, control is insensitive, the accuracy of the voice recognition is reduced, the current control method generally does not have an adjusting function, the household appliances cannot be automatically adjusted according to the requirements of the user, and the convenience of intelligent home control is reduced, so that the control method based on the voice recognition is provided.
Disclosure of Invention
The invention aims to solve the defects in the prior art, and provides a control method based on voice recognition, which is characterized in that a noise filtering module and a semantic error correction module are additionally arranged to realize noise filtering and semantic error correction of a user voice instruction, the definition of a voice signal input by a user during voice recognition is greatly improved, the accuracy of the voice recognition is further improved, and the obtained voice recognition result is more accurate.
In order to achieve the purpose, the invention provides the following technical scheme: the control method based on the voice recognition comprises the following steps:
s1, inserting a plug into a socket, and displaying that the plug and the socket are successfully matched, namely performing voice recognition;
s2, the receiving unit receives a voice instruction sent by a user, for a fuzzy voice instruction, a noise filtering module in the processing unit filters noise of the received voice instruction, and a semantic error correction module in the processing unit corrects semantic error of the received voice instruction;
s3, after the fuzzy voice instruction is processed, the feedback unit feeds back the fuzzy voice instruction to the user in a voice broadcasting mode, whether a feedback result is correct or not is judged, and a secondary instruction of the user is obtained;
s4, after the fed-back voice command is correct, the conversion unit converts the control signal into a switching signal or an adjusting signal;
and S5, when the control signal is converted into a switch signal, the control unit controls the household appliance to be turned on or turned off, and when the control signal is converted into an adjusting signal, the control unit controls the adjusting unit to adjust the temperature and the brightness of the household appliance.
Preferably, in S1, a voice recognition module is disposed in the socket, and the voice recognition module includes a receiving unit, a processing unit, a feedback unit, a conversion unit, a regulation unit and a control unit, and the control unit is electrically connected to the receiving unit, the processing unit, the feedback unit, the conversion unit and the regulation unit, respectively.
Preferably, the processing unit includes noise filtering module and semantic error correction module, the control unit includes central control module group, central control module group still includes signal reception module, signal reception module includes WIFI antenna, LTE antenna, radio frequency switch, frequency divider and treater, radio frequency switch includes first input port, second input port and WIFI signal output port, the frequency divider includes third input port, first output port and second output port, the WIFI antenna with first input port connection, the LTE antenna with third input port connection, first output port with second input port connection, the frequency divider is used for with WIFI signal and LTE signal in the signal that the LTE antenna was received separate to will be separated the WIFI signal with the LTE signal passes through respectively first output port and the second output port is exported.
Preferably, in S1, a display lamp is arranged on the plug, and when it is displayed that the plug and the socket are successfully paired, a lamp volume is displayed as green light, and the feedback unit sends a voice broadcast of "you have successfully paired", so as to remind the user that the pairing is successful, and the plug can be used.
Preferably, in S2, the receiving unit is set as a microphone, and the noise filtering module outputs a first audio signal selected by the user to the speaker through the audio output module when operating; then the loudspeaker plays the first audio signal; then the processing module generates a reverse audio signal according to the first audio signal; and then the microphone receives the first audio signal, the reverse audio signal and the voice signal input by the user, synthesizes and outputs the voice signal to be recognized to a voice database, and eliminates the background noise output by the mobile terminal by generating the reverse audio signal with the waveform opposite to that of the first audio signal output by the loudspeaker, thereby greatly improving the definition of the voice signal input by the user during voice recognition and further improving the accuracy of the voice recognition.
Preferably, in S2, when the semantic error correction module runs, a historical recognition result obtained through the current speech recognition model is obtained, where the historical recognition result includes a plurality of text messages; carrying out logic analysis on the plurality of text messages, and extracting target text messages with repeated logics; carrying out error channel statistics on target text information with repeated logic between the target text information and the target text information to generate a text alignment model; receiving a voice instruction input by a user; and decoding the voice information according to the current voice recognition model and the text alignment model to obtain a target voice recognition result, so that the voice recognition result obtained after recognition can be more accurate.
Preferably, in S5, the household appliance includes a refrigerator, an electric lamp, a water heater, an air conditioner, a television and an electric curtain, and the adjusting unit can adjust the temperatures of the refrigerator, the water heater and the air conditioner, adjust the working mode of the air conditioner, and control the air conditioner to realize cooling, heating, air supply and dehumidification.
Preferably, the electric lamp comprises three operation modes of white light, warm light and natural light, and the adjusting unit can control the electric lamp to switch different operation modes.
The invention has the technical effects and advantages that: compared with the prior art, the voice recognition-based control method provided by the invention is additionally provided with the noise filtering module and the semantic error correction module, realizes noise filtering and semantic error correction of the voice instruction of the user, greatly improves the definition of the voice signal input by the user during voice recognition, further improves the accuracy of voice recognition, and obtains a more accurate voice recognition result.
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FIG. 1 is a block flow diagram of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention. 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.
Referring to fig. 1, the present invention provides a control method based on speech recognition, including the following steps:
s1, inserting a plug into a socket, and displaying that the plug and the socket are successfully matched, namely performing voice recognition;
s2, the receiving unit receives a voice instruction sent by a user, for a fuzzy voice instruction, a noise filtering module in the processing unit filters noise of the received voice instruction, and a semantic error correction module in the processing unit corrects semantic error of the received voice instruction;
s3, after the fuzzy voice instruction is processed, the feedback unit feeds back the user in a voice broadcasting mode, whether a feedback result is correct or not is judged, and a secondary instruction of the user is obtained;
s4, after the fed-back voice command is correct, the conversion unit converts the control signal into a switching signal or an adjusting signal;
and S5, when the control signal is converted into a switching signal, the control unit controls the household appliance to be switched on or switched off, and when the control signal is converted into an adjusting signal, the control unit controls the adjusting unit to adjust the temperature and the brightness of the household appliance.
In S1, a voice recognition module is arranged in the socket and comprises a receiving unit, a processing unit, a feedback unit, a conversion unit, an adjusting unit and a control unit, wherein the control unit is electrically connected with the receiving unit, the processing unit, the feedback unit, the conversion unit and the adjusting unit respectively.
The voice recognition module also comprises a storage unit, and a user can store a specific voice instruction in the storage unit, for example, in addition to the user inputting the 'light on' instruction, the user can set the 'light on' instruction to have a learning function.
The processing unit includes noise filtering module and semantic error correction module, the control unit includes central control module group, central control module group still includes signal reception module, signal reception module includes WIFI antenna, LTE antenna, radio frequency switch, frequency divider and treater, radio frequency switch includes first input port, second input port and WIFI signal output port, the frequency divider includes third input port, first output port and second output port, the WIFI antenna with first input port connection, the LTE antenna with third input port connection, first output port with second input port connection, the frequency divider is used for with WIFI signal and LTE signal in the signal that the LTE antenna was received separate to with after separating the WIFI signal with the LTE signal passes through respectively first output port and the second output port is exported.
In S1, a display lamp is arranged on the plug, when the plug and the socket are successfully matched, the display lamp displays a green light, and when the matching is unsuccessful, the display lamp displays a red light, and the feedback unit sends out voice broadcasting that 'you are successfully matched', so that the user is reminded of successful matching, and the socket can be used.
In S2, the receiving unit is set as a microphone, and when the noise filtering module operates, a first audio signal selected by a user is output to a loudspeaker through an audio output module; then the loudspeaker plays the first audio signal; then the processing module generates a reverse audio signal according to the first audio signal; and then the microphone receives the first audio signal, the reverse audio signal and the voice signal input by the user, synthesizes and outputs the voice signal to be recognized to a voice database, and eliminates the background noise output by the mobile terminal by generating the reverse audio signal with the waveform opposite to that of the first audio signal output by the loudspeaker, thereby greatly improving the definition of the voice signal input by the user during voice recognition and further improving the accuracy of the voice recognition.
In S2, when the semantic error correction module runs, obtaining a historical recognition result obtained through the current voice recognition model, wherein the historical recognition result comprises a plurality of text messages; carrying out logic analysis on the plurality of text messages, and extracting target text messages with repeated logics; carrying out error channel statistics on target text information with repeated logic between the target text information and the target text information to generate a text alignment model; receiving a voice instruction input by a user; and decoding the voice information according to the current voice recognition model and the text alignment model to obtain a target voice recognition result, so that the voice recognition result obtained after recognition can be more accurate.
In S5, the household appliance comprises a refrigerator, an electric lamp, a water heater, an air conditioner, a television and an electric curtain, the adjusting unit can adjust the temperature of the refrigerator, the water heater and the air conditioner and the working mode of the air conditioner, and the air conditioner is controlled to realize refrigeration, heating, air supply and dehumidification.
The electric lamp comprises three working modes of white light, warm light and natural light, and the adjusting unit can control the electric lamp to switch different working modes.
In summary, the invention is additionally provided with the noise filtering module and the semantic error correcting module, so that noise filtering and semantic error correction of the voice instruction of the user are realized, the definition of the voice signal input by the user during voice recognition is greatly improved, the accuracy of the voice recognition is further improved, the obtained voice recognition result is more accurate, the adjusting unit is additionally arranged, the temperature of household appliances such as a refrigerator, a water heater and an air conditioner can be adjusted, various brightness degrees of electric lamps can be adjusted, and the convenience of intelligent home control is improved.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still make modifications to the technical solutions described in the foregoing embodiments, or make equivalent substitutions and improvements to part of the technical features of the foregoing embodiments, and any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The control method based on the voice recognition is characterized in that: the method comprises the following steps:
s1, inserting a plug into a socket, and displaying that the plug and the socket are successfully matched, namely performing voice recognition;
s2, the receiving unit receives a voice instruction sent by a user, for a fuzzy voice instruction, a noise filtering module in the processing unit filters noise of the received voice instruction, and a semantic error correction module in the processing unit corrects semantic error of the received voice instruction;
s3, after the fuzzy voice instruction is processed, the feedback unit feeds back the fuzzy voice instruction to the user in a voice broadcasting mode, whether a feedback result is correct or not is judged, and a secondary instruction of the user is obtained;
s4, after the fed-back voice command is correct, the conversion unit converts the control signal into a switching signal or an adjusting signal;
and S5, when the control signal is converted into a switching signal, the control unit controls the household appliance to be switched on or switched off, and when the control signal is converted into an adjusting signal, the control unit controls the adjusting unit to adjust the temperature and the brightness of the household appliance.
2. The speech recognition-based control method according to claim 1, wherein: in S1, a voice recognition module is arranged in the socket and comprises a receiving unit, a processing unit, a feedback unit, a conversion unit, an adjusting unit and a control unit, wherein the control unit is electrically connected with the receiving unit, the processing unit, the feedback unit, the conversion unit and the adjusting unit respectively.
3. The speech recognition-based control method according to claim 2, wherein: the processing unit includes noise filtering module and semantic error correction module, the control unit includes central control module group, central control module group still includes signal reception module, signal reception module includes WIFI antenna, LTE antenna, radio frequency switch, frequency divider and treater, the radio frequency switch includes first input port, second input port and WIFI signal output port, the frequency divider includes third input port, first output port and second output port, the WIFI antenna with first input port connection, the LTE antenna with third input port connection, first output port with second input port connection, the frequency divider is used for with WIFI signal and LTE signal in the signal that the LTE antenna was received separate to will be separated the WIFI signal with the LTE signal passes through respectively first output port and second output port is exported.
4. The speech recognition-based control method according to claim 2, wherein: in S1, a display lamp is arranged on the plug, when the plug and the socket are successfully matched, the lamp quantity is displayed to be green, and the feedback unit sends out voice broadcast that 'you are successfully matched', so that a user is reminded of successful matching, and the plug and the socket can be used.
5. The speech recognition-based control method of claim 1, wherein: in S2, the receiving unit is set as a microphone, and when the noise filtering module operates, a first audio signal selected by a user is output to a loudspeaker through an audio output module; then the loudspeaker plays the first audio signal; then the processing module generates a reverse audio signal according to the first audio signal; then the microphone receives the first audio signal, the reverse audio signal and the voice signal input by the user, the voice signal to be recognized is output to the voice database after synthesis processing is carried out, the reverse audio signal with the waveform opposite to that of the first audio signal output by the loudspeaker is generated, background noise output by the mobile terminal is eliminated, the definition of the voice signal input by the user during voice recognition is greatly improved, and the accuracy of the voice recognition is further improved.
6. The speech recognition-based control method of claim 1, wherein: in S2, when the semantic error correction module runs, obtaining a historical recognition result obtained through the current voice recognition model, wherein the historical recognition result comprises a plurality of text messages; carrying out logic analysis on the plurality of text messages, and extracting target text messages with repeated logics; carrying out error channel statistics on target text information with repeated logics to generate a text alignment model; receiving a voice instruction input by a user; and decoding the voice information according to the current voice recognition model and the text alignment model to obtain a target voice recognition result, so that the voice recognition result obtained after recognition can be more accurate.
7. The speech recognition-based control method of claim 1, wherein: in S5, the household appliance comprises a refrigerator, an electric lamp, a water heater, an air conditioner, a television and an electric curtain, the adjusting unit can adjust the temperature of the refrigerator, the water heater and the air conditioner and can adjust the working mode of the air conditioner, and the air conditioner is controlled to realize refrigeration, heating, air supply and dehumidification.
8. The speech recognition-based control method of claim 7, wherein: the electric lamp comprises three working modes of white light, warm light and natural light, and the adjusting unit can control the electric lamp to switch different working modes.
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Cited By (1)
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CN117092922A (en) * | 2023-07-26 | 2023-11-21 | 广东浩博特科技股份有限公司 | Household intelligent switch system based on wireless transmission |
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CN117092922A (en) * | 2023-07-26 | 2023-11-21 | 广东浩博特科技股份有限公司 | Household intelligent switch system based on wireless transmission |
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