CN111312221A - Intelligent range hood based on voice control - Google Patents
Intelligent range hood based on voice control Download PDFInfo
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- CN111312221A CN111312221A CN202010064625.XA CN202010064625A CN111312221A CN 111312221 A CN111312221 A CN 111312221A CN 202010064625 A CN202010064625 A CN 202010064625A CN 111312221 A CN111312221 A CN 111312221A
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- 230000005236 sound signal Effects 0.000 claims abstract description 33
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- 238000003062 neural network model Methods 0.000 description 5
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- 238000012549 training Methods 0.000 description 4
- 238000007781 pre-processing Methods 0.000 description 3
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- 230000004888 barrier function Effects 0.000 description 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
- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24C—DOMESTIC STOVES OR RANGES ; DETAILS OF DOMESTIC STOVES OR RANGES, OF GENERAL APPLICATION
- F24C15/00—Details
- F24C15/20—Removing cooking fumes
- F24C15/2021—Arrangement or mounting of control or safety systems
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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
- G10L15/26—Speech to text systems
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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
- G10L15/28—Constructional details of speech recognition systems
- G10L15/30—Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
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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
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Abstract
The invention relates to the technical field of range hoods, and particularly discloses an intelligent range hood based on voice control, which comprises a range hood body and a voice control module, wherein the voice control module comprises: the acquisition unit is used for acquiring sound signals; the storage unit is used for storing a plurality of kitchen noise sample sets and correction models corresponding to the noise sample sets; the processing unit is used for matching the noise sample set according to the sound signal and determining a correction model corresponding to the successfully matched noise sample set, and the processing unit is also used for carrying out voice enhancement on the sound signal according to the corresponding correction model; the recognition unit is used for acquiring the voice signal after voice enhancement to perform voice recognition and outputting a recognition result; and the execution unit is used for acquiring the recognition result and sending an actual control instruction to the range hood body based on the recognition result. By adopting the technical scheme of the invention, the accuracy of voice recognition can be improved.
Description
Technical Field
The invention relates to the technical field of range hoods, in particular to an intelligent range hood based on voice control.
Background
A range hood is a kitchen appliance for purifying the kitchen environment. The kitchen ventilator is arranged above a kitchen stove, can rapidly pump away waste burnt by the stove and oil fume harmful to human bodies generated in the cooking process, and exhaust the waste and the oil fume to the outside, reduces pollution, purifies air, and has the safety guarantee effects of gas defense and explosion prevention. However, the existing range hood can only be manually controlled, and the operation is complex.
Therefore, the chinese patent with publication number CN110242987A discloses a range hood, which comprises a voice control unit; the voice control unit can receive a voice instruction sent by a user, and converts the voice instruction into a corresponding signal to control the equipment to operate. Above-mentioned scheme has solved the problem that needs manual control through speech control, has liberated both hands, and is more convenient to range hood's control.
However, various noises exist in the existing kitchen, such as the working noise of the range hood itself, the noise of cooking, etc., which can interfere with the human voice, resulting in a low accuracy of voice recognition.
Disclosure of Invention
The invention provides an intelligent range hood based on voice control, which can improve the accuracy of voice recognition.
In order to solve the technical problem, the present application provides the following technical solutions:
intelligence range hood based on speech control, including range hood body and speech control module, speech control module includes:
the acquisition unit is used for acquiring sound signals;
the storage unit is used for storing a plurality of kitchen noise sample sets and correction models corresponding to the noise sample sets;
the processing unit is used for matching the noise sample set according to the sound signal and determining a correction model corresponding to the successfully matched noise sample set, and the processing unit is also used for carrying out voice enhancement on the sound signal according to the corresponding correction model;
the recognition unit is used for acquiring the voice signal after voice enhancement to perform voice recognition and outputting a recognition result;
and the execution unit is used for acquiring the recognition result and sending an actual control instruction to the range hood body based on the recognition result.
The basic scheme principle and the beneficial effects are as follows:
in the scheme, the built-in noise sample sets of a plurality of kitchens are matched with the sound signals, the current noise type can be effectively determined, then the sound signals are subjected to voice enhancement through the correction model corresponding to the successfully matched noise sample set, useful voice signals can be extracted from the noise background, and subsequent voice recognition is facilitated. Therefore, the scheme can effectively eliminate the interference of environmental noise and improve the accuracy of voice recognition.
The processing unit is further used for sending the sound signal to the communication unit when the sound signal is not successfully matched with the noise sample set; the communication unit is used for sending the sound signal to the server.
By sending the sound signals which are not successfully matched with the noise sample set to the server, samples of the sound signals are enriched, and data support is provided for subsequently updating and upgrading the noise sample set and the correction model.
Further, the processing unit is further configured to pre-process the sound signal before matching the noise sample set.
By preprocessing the sound signal, the success rate of matching the sound signal with the noise sample set can be improved.
Further, the communication unit is further configured to obtain an actual control instruction, and send the actual control instruction and the successfully matched noise sample set to the server;
the server is further used for establishing an instruction prediction library according to the actual control instruction and the successfully matched noise sample set and sending the instruction prediction library to the communication unit, and the communication unit is further used for storing the instruction prediction library to the storage unit.
By establishing an instruction prediction library, prediction of control instructions is facilitated directly through a noise sample set.
Further, the processing unit is further configured to match a corresponding predictive control instruction from an instruction prediction library according to the successfully matched noise sample set; the processing unit is further used for obtaining the actual control instruction from the identification unit, comparing the actual control instruction with the prediction control instruction, and when the actual control instruction is different from the prediction control instruction, the processing unit is further used for generating an exception log and storing the exception log in the storage module.
When the actual control instruction is different from the prediction control instruction, an abnormal log is generated, so that the worker can know the specific reason by checking the abnormal log in the following process.
Further, the processing unit is further configured to determine whether two actual control instructions are different from the predicted control instruction within a preset time, and when two actual control instructions are different, the processing unit is further configured to determine whether the two actual control instructions are the same and whether the predicted control instructions are the same, and when the two actual control instructions are the same and the two predicted control instructions are the same, the processing unit is further configured to use the predicted control instruction as a new actual control instruction.
When the actual control instruction is different from the predicted control instruction for the first time, the actual control instruction may be different from the control idea of the user, or the predicted control instruction may be different from the control idea of the user; however, the user has performed a second voice input within the preset time, and the actual control command is usually different from the user's control idea for the first time, so the user has to repeat the previous voice input. At this time, when the two actual control commands are the same and the two predicted control commands are the same, it is described that the second actual control command still has a situation different from the control idea of the user, the user does not obtain the correct actual control command for the second voice input for correction, and if the second voice input is executed according to the original actual control command, an error still occurs, and the user experience is poor. In the preferred embodiment, the predicted control command is used as a new actual control command, so that the previous error can be corrected with a high probability, and the new actual control command can conform to the control idea of the user.
Further, when the two actual control instructions are the same and the two predicted control instructions are the same, the processing unit is further configured to add the corrected model exception information to the exception log.
And the worker can conveniently adjust the correction model after seeing the abnormal information of the correction model subsequently.
Further, when the two actual control instructions are different, the processing unit is further used for sending a normal signal to the execution unit, and the execution unit is further used for sending a second actual control instruction to the range hood body.
When the actual control instruction at the first time is different from the control idea of the user, and the user has to repeat the previous voice input, the problem of inaccurate recognition is usually recognized, and the instinctive speed of speech is reduced or the volume is increased, which is beneficial to performing voice enhancement on the voice signal by the processing unit at the second time according to the corresponding correction model, and the recognition accuracy can be improved. In addition, the second actual control command is different from the first actual control command in view of the result, so in the present preferred embodiment, the second predicted control command is not used to replace the second actual control command.
Further, the preset time is 1-5S.
Through the preset time of 1-5S, the voice input which is corrected by the user when the actual control instruction is different from the control idea of the user and the voice input which is normally performed by the user can be distinguished conveniently.
Further, the control instruction comprises opening the range hood, closing the range hood and adjusting the working gear of the range hood.
The control instructions are multiple, and more control options can be provided for users.
Drawings
Fig. 1 is a logic block diagram of an intelligent range hood based on voice control in an embodiment.
Detailed Description
The following is further detailed by way of specific embodiments:
example one
As shown in fig. 1, the intelligent range hood based on voice control of the embodiment includes a range hood body, a voice control module and a server, wherein the voice control module includes a collection unit, a storage unit, a processing unit, a recognition unit, an execution unit and a communication unit. The communication unit is connected with the server network.
The acquisition unit is used for acquiring sound signals. The storage unit is used for storing a plurality of noise sample sets of kitchens and correction models corresponding to the noise sample sets. In this embodiment, the correction model is obtained by the server through training according to the noise sample set. And the trained correction model is sent to the communication unit through the server and then stored in the storage unit through the communication unit. In this embodiment, each noise sample set corresponds to a specific noise type, such as cooking, boiling water, cooking noodles, stewing meat, etc.
The processing unit is used for acquiring the sound signals from the acquisition unit and preprocessing the sound signals; in this embodiment, the preprocessing is amplification of the sound signal.
The processing unit is further used for matching the noise sample set according to the preprocessed sound signal and determining a correction model corresponding to the successfully matched noise sample set, and the processing unit is further used for performing voice enhancement on the sound signal according to the corresponding correction model. Speech enhancement is a technique for extracting a useful speech signal from a noise background to suppress and reduce noise interference when the speech signal is interfered or even submerged by various noises.
The processing unit is also used for sending the sound signal to the communication unit when the sound signal is not successfully matched with the noise sample set; the communication unit is used for sending the sound signal to the server.
The recognition unit is used for acquiring the voice signal after voice enhancement to perform voice recognition and outputting a recognition result. In this embodiment, the recognition result is a text.
The execution unit is used for acquiring the recognition result and sending an actual control instruction to the range hood body based on the recognition result. The control instruction comprises opening the range hood, closing the range hood and adjusting the working gear of the range hood. In this embodiment, after the execution unit obtains the recognition result, the control keyword is extracted from the recognition result, and the control keyword is used as an actual control instruction and sent to the range hood body. The range hood body is used for executing the control command.
The communication unit is further used for obtaining the actual control instruction and the noise sample set successfully matched with the sound signal, and the communication unit is further used for sending the actual control instruction and the successfully matched noise sample set to the server. The server is further used for establishing an instruction prediction library according to the actual control instruction and the successfully matched noise sample set and sending the instruction prediction library to the communication unit, and the communication unit is further used for storing the instruction prediction library to the storage unit. In this embodiment, the command prediction library includes prediction control commands corresponding to the noise sample sets one to one.
The processing unit is also used for matching corresponding prediction control instructions from the instruction prediction library according to the successfully matched noise sample set; the processing unit is further used for obtaining the actual control instruction from the identification unit, comparing the actual control instruction with the prediction control instruction, and when the actual control instruction is different from the prediction control instruction, the processing unit is further used for generating an exception log and storing the exception log in the storage module.
The processing unit is further used for judging whether the two actual control instructions are different from the predicted control instruction within a preset time, and when the two actual control instructions are different, the processing unit is further used for judging whether the two actual control instructions are the same and whether the predicted control instruction is the same. The preset time is 1-10S, in this embodiment 5S.
When the two actual control instructions are the same and the two predicted control instructions are the same, the processing unit is further used for taking the predicted control instructions as new actual control instructions and sending the new actual control instructions to the execution unit, and the execution unit is further used for sending the new actual control instructions to the range hood body. The processing unit is further used for adding the corrected model exception information in the exception log. The communication unit is also used for acquiring the abnormal log from the storage module and sending the abnormal log to the server.
When the two actual control instructions are different, the processing unit is further used for sending a normal signal to the execution unit, and the execution unit is further used for sending the second actual control instruction to the range hood body.
For example, the actual control instruction obtained for the first time is to adjust the working gear to the 1 st gear, and the predicted control instruction is to adjust the working gear to the 3 rd gear; after 3S, the user performs voice control for the second time, the actual control instruction obtained for the second time is to adjust the working gear to the 1 gear, and the prediction control instruction is to adjust the working gear to the 3 gear; the two actual control instructions are the same, the two predicted control instructions are the same, and the processing unit is used for taking the predicted control instruction (adjusting the working position to the 3-gear) as a new actual control instruction and sending the new actual control instruction to the execution unit.
For another example, the actual control instruction obtained for the first time is to adjust the working gear to the 1 st gear, and the predicted control instruction is to adjust the working gear to the 3 rd gear; after 3S, the user performs voice control for the second time, the actual control instruction obtained for the second time is to adjust the working gear to 2 grades, and the prediction control instruction is to adjust the working gear to 3 grades; the two actual control instructions are different, the processing unit is used for sending a normal signal to the execution unit, and the execution unit is also used for sending a second actual control instruction (adjusting the working gear to 2 gears) to the range hood body.
Example two
The difference between this embodiment and the first embodiment is that, in this embodiment, the server is further configured to generate a training sample set according to the actual control instruction and the successfully matched noise sample set, input the training sample set into the BP neural network model for training, and output the successfully trained BP neural network model when the accuracy of the prediction control instruction output by the BP neural network model meets a preset value.
And after the BP neural network model is trained successfully, the server is further used for inputting the successfully matched noise sample set into the BP neural network model after receiving the successfully matched noise sample set sent by the communication unit to obtain a prediction control instruction, and sending the prediction control instruction to the communication unit, and the processing unit is further used for obtaining the prediction control instruction from the communication unit and obtaining an actual control instruction from the identification unit. The processing unit is further used for judging whether the two actual control instructions are different from the predicted control instruction within a preset time, and when the two actual control instructions are different, the processing unit is further used for judging whether the two actual control instructions are the same and whether the predicted control instruction is the same. The preset time is 5S in this embodiment.
When the two actual control instructions are the same and the two predicted control instructions are the same, the processing unit is further used for taking the predicted control instructions as new actual control instructions and sending the new actual control instructions to the execution unit, and the execution unit is further used for sending the new actual control instructions to the range hood body. The processing unit is further used for adding the corrected model exception information in the exception log.
When the two actual control instructions are different, the processing unit is further used for sending a normal signal to the execution unit, and the execution unit is further used for sending the second actual control instruction to the range hood body.
The above are merely examples of the present invention, and the present invention is not limited to the field related to this embodiment, and the common general knowledge of the known specific structures and characteristics in the schemes is not described herein too much, and those skilled in the art can know all the common technical knowledge in the technical field before the application date or the priority date, can know all the prior art in this field, and have the ability to apply the conventional experimental means before this date, and those skilled in the art can combine their own ability to perfect and implement the scheme, and some typical known structures or known methods should not become barriers to the implementation of the present invention by those skilled in the art in light of the teaching provided in the present application. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. Intelligence range hood based on speech control, including range hood body and speech control module, its characterized in that, speech control module includes:
the acquisition unit is used for acquiring sound signals;
the storage unit is used for storing a plurality of kitchen noise sample sets and correction models corresponding to the noise sample sets;
the processing unit is used for matching the noise sample set according to the sound signal and determining a correction model corresponding to the successfully matched noise sample set, and the processing unit is also used for carrying out voice enhancement on the sound signal according to the corresponding correction model;
the recognition unit is used for acquiring the voice signal after voice enhancement to perform voice recognition and outputting a recognition result;
and the execution unit is used for acquiring the recognition result and sending an actual control instruction to the range hood body based on the recognition result.
2. The intelligent range hood based on voice control as claimed in claim 1, wherein: the processing unit is further used for sending the sound signal to the communication unit when the sound signal is not successfully matched with the noise sample set; the communication unit is used for sending the sound signal to the server.
3. The intelligent range hood based on voice control as claimed in claim 2, wherein: the processing unit is further configured to pre-process the sound signal before matching the noise sample set.
4. The intelligent range hood based on voice control as claimed in claim 3, wherein: the communication unit is also used for acquiring an actual control instruction and sending the actual control instruction and the successfully matched noise sample set to the server;
the server is further used for establishing an instruction prediction library according to the actual control instruction and the successfully matched noise sample set and sending the instruction prediction library to the communication unit, and the communication unit is further used for storing the instruction prediction library to the storage unit.
5. The intelligent range hood based on voice control as claimed in claim 4, wherein: the processing unit is further used for matching corresponding prediction control instructions from an instruction prediction library according to the successfully matched noise sample set; the processing unit is further used for obtaining the actual control instruction from the identification unit, comparing the actual control instruction with the prediction control instruction, and when the actual control instruction is different from the prediction control instruction, the processing unit is further used for generating an exception log and storing the exception log in the storage module.
6. The intelligent range hood based on voice control as claimed in claim 5, wherein: the processing unit is further used for judging whether two actual control instructions are different from the predicted control instruction within preset time, and when the two actual control instructions are different, the processing unit is further used for judging whether the two actual control instructions are the same and whether the predicted control instruction are the same, and when the two actual control instructions are the same and the two predicted control instructions are the same, the processing unit is further used for taking the predicted control instruction as a new actual control instruction.
7. The intelligent range hood based on voice control as claimed in claim 6, wherein: when the two actual control instructions are the same and the two predicted control instructions are the same, the processing unit is further configured to add the corrected model exception information to the exception log.
8. The intelligent range hood based on voice control as claimed in claim 7, wherein: when the two actual control instructions are different, the processing unit is further used for sending a normal signal to the execution unit, and the execution unit is further used for sending the second actual control instruction to the range hood body.
9. The intelligent range hood based on voice control as claimed in claim 8, wherein: the preset time is 1-5S.
10. The intelligent range hood based on voice control as claimed in claim 9, wherein: the control instruction comprises opening the range hood, closing the range hood and adjusting the working gear of the range hood.
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| CN114165819A (en) * | 2021-11-26 | 2022-03-11 | 珠海格力电器股份有限公司 | Range hood, control method and module thereof and computer readable medium |
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| CN114165819A (en) * | 2021-11-26 | 2022-03-11 | 珠海格力电器股份有限公司 | Range hood, control method and module thereof and computer readable medium |
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