CN110782896A - Measuring instrument testing system and method based on voice control - Google Patents
Measuring instrument testing system and method based on voice control Download PDFInfo
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- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
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- 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
- G10L15/063—Training
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/14—Speech classification or search using statistical models, e.g. Hidden Markov Models [HMMs]
- G10L15/142—Hidden Markov Models [HMMs]
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; 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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- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification
- G10L17/22—Interactive procedures; Man-machine interfaces
- G10L17/24—Interactive procedures; Man-machine interfaces the user being prompted to utter a password or a predefined phrase
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- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
- G10L25/24—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being the cepstrum
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- 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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Abstract
The invention discloses a measuring instrument testing system and method based on voice control, which comprises the following steps: a voice recognition module and a client; the voice recognition module is communicated with the test instrument through the client, the client receives the instruction of the voice recognition module, analyzes the instruction and configures the corresponding test instrument to perform related operation, the measurement result is displayed through the client and is sent to the voice recognition module, and the voice recognition module synthesizes and broadcasts the feedback result and performs the instruction operation of the next step. Based on the voice control design of the measuring instrument, the voice interaction configuration and use of the measuring instrument can be realized, and the voice guidance of the test service logic is realized for users to use, so that manual operation is replaced. Compared with the traditional single-instruction operation, the interactive design of the business logic is adopted, and the practical application requirements in the field of testing industry are better met.
Description
Technical Field
The invention belongs to the field of artificial intelligence voice recognition, and particularly relates to a measuring instrument testing system and method based on voice control.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the rapid development of automation and intelligence of electronic equipment, artificial intelligence is more and more applied to traditional electronic equipment, and the test flow of the traditional measuring instrument is tedious, has higher requirements on operators, and is not very convenient for non-professionals to use. The voice interaction is widely applied to equipment such as intelligent sound boxes, voice assistants and the like, and has been successfully applied commercially at present, but the main application scene is also concentrated in the fields of mobile phone terminals and intelligent homes, and no successful application case exists in the field of testing instruments. In order to improve the user experience of the test instrument and reduce the use difficulty of non-professionals, a voice intelligent control design technology suitable for the control of the test instrument is needed.
Speech recognition is an important branch of natural language processing, and the technology relates to the fields of signal processing, pattern recognition, probability theory, artificial intelligence and the like. Speech recognition attracts much attention from birth to the present, and because it plays an important role in the implementation of human-computer interaction, speech recognition aims to make devices have the ability to understand human languages, and then completes corresponding operations according to language meanings, and the implementation of human-computer interaction requires a lot of early learning and training. The traditional equipment has more and more manual operations along with the increase of functions, which brings much inconvenience to users, and the voice control technology can simplify the complex operations, can complete the operations according to the intentions of users and is convenient for the users to use.
In current commercial application, the more mature is the smart sound box and the mobile phone intelligent assistant. A series of solutions of the Internet of things can be realized by combining the intelligent sound box with the intelligent home, such as controlling the on-off of a lamp, a curtain, a television, a floor sweeping robot and the like by the voice sound box. The voice command is spoken after the equipment is awakened through the awakening word, the voice command needs to be networked to a cloud end to be analyzed and processed, then the voice command is fed back to the sound box to be output, the intelligent sound box is input and output equipment, and the voice processing is mainly carried out in the cloud end.
The current voice control scheme is more simple on-off control and lacks further voice interaction. Moreover, the intelligent home has numerous schemes and no uniform protocol standard, and the sound box cannot be compatible with intelligent equipment of different manufacturers. Ordinary household speech recognition training vocabularies are also concentrated in the living field and are not professional, and professional vocabularies in the industrial field lack corresponding recognition training and cannot be directly used. In addition, the intelligent sound box is not combined with an industrial device, the industrial device is not fixed with a set of internet of things protocol standard at present, and the operation of the instrument cannot be simple on-off operation and needs corresponding parameter setting and interactive design. And industrial environment user equipment is mostly not connected with the external network, ordinary intelligent sound box can not be used for recognition and processing functions, the sound box is networked and handed over to the cloud for feedback processing, the sound box is only input and output equipment and does not have an offline use function, and therefore the current intelligent voice equipment can not meet industrial voice control requirements due to the fact that the sound box can not be suitable for industrial application scenes.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a measuring instrument testing system based on voice control, which can realize the voice control of a measuring instrument and abandon the traditional manual operation mode. And completing the test flow, parameter configuration and result feedback through the voice command.
In order to achieve the above object, one or more embodiments of the present invention provide the following technical solutions:
a voice-control based measurement instrument test system comprising:
a voice recognition module and a client;
the voice recognition module firstly carries out filtering processing on the received voice, removes useless redundant information for voice recognition in a voice signal, carries out feature extraction by adopting a Mel frequency cepstrum coefficient mode, extracts feature parameters, matches the feature parameters with an acoustic model to obtain a recognition result, and analyzes the voice result by combining a voice decoding and search algorithm with a dictionary;
starting a voice feedback result after the test engineering and prompting to carry out parameter configuration operation, and gradually guiding a user to carry out engineering configuration before the test according to a business process until the engineering test is finally finished;
the voice recognition module is communicated with the test instrument through the client, the client receives the instruction of the voice recognition module, analyzes the instruction and configures the corresponding test instrument to perform related operation, the measurement result is displayed through the client and is sent to the voice recognition module, and the voice recognition module synthesizes and broadcasts the feedback result and performs the instruction operation of the next step.
In the further technical scheme, the acoustic model modeling adopts a hidden Markov model, and the language model adopts an N-Gram model.
According to the further technical scheme, when the voice recognition module is used, awakening words are firstly needed, awakening word setting is independently carried out, voice interaction is carried out after equipment is activated through the awakening words, and a program control command is sent; and then constructing a corpus and analyzing the voice.
The technical scheme is that the voice recognition module and the client are transmitted through a network, the connection mode is ZeroMQ, the transmission message is in a JSON format, and the message content sent to the client by the voice recognition module comprises a test engineering name, an ID number, logic resources, hardware information, a calibration channel, parameters, variables, a measurement threshold, a program control address, a driver program path and name information;
the client feedback message comprises test resources, a test execution result, a measurement value threshold updating, a calibration execution result and operation error notification information.
The invention also provides a measuring instrument testing method based on voice control, which comprises the following steps:
filtering the received voice, removing redundant information which is useless for voice recognition in the voice signal, extracting features by adopting a Mel frequency cepstrum coefficient mode, extracting feature parameters, matching the feature parameters with an acoustic model to obtain a recognition result, and analyzing the voice result by combining a voice decoding and searching algorithm with a dictionary;
and starting a voice feedback result after the test engineering, prompting to perform parameter configuration operation, and gradually guiding a user to perform engineering configuration before the test according to a business process until the engineering test is finally completed.
According to the further technical scheme, after voice information is recognized, the API interaction with the server or other cloud services through the internet access under the online condition is achieved, cloud computing and background management and control are achieved, complete business logic is achieved, and complex function processing is conducted on the server or the cloud.
In the off-line mode, the identification is to train a perfect special test voice model on the basis of constructing a complete special voice library and a program control command library, and to accurately identify an operation instruction and finish test operation mainly aiming at the environment that an industrial application scene cannot be networked.
According to the technical scheme, the client side mainly establishes a test project and communicates with a test instrument, the start, calibration program and parameter configuration of the test project are set through voice, test pause and test continuation operation are performed, the client side receives instructions and analyzes the instructions, then the corresponding test instrument is configured to perform relevant operation, the measurement result is displayed through the client side and is sent to the voice recognition module, and the voice recognition module synthesizes and broadcasts the feedback result and guides a user to perform the next instruction operation.
The above one or more technical solutions have the following beneficial effects:
based on the voice control design of the measuring instrument, the voice interaction configuration and use of the measuring instrument can be realized, and the voice guidance of the test service logic is realized for users to use, so that manual operation is replaced. Compared with the traditional single-instruction operation, the interactive design of the business logic is adopted, and the practical application requirements in the field of testing industry are better met.
The professional vocabulary speech recognition technology applied to the test instrument can perform online or offline speech recognition, can interact with APIs (application programming interfaces) of other services through a server or a cloud under an online condition, realize various functions including cloud computing, background management and control and the like, and can accurately recognize test professional operation terms under an offline condition.
The application of the invention is mainly a professional test scene, most of the speech recognition vocabularies are professional vocabularies, the common speech recognition can not realize accurate recognition, in addition, the invention can carry out off-line recognition, and the existing product has no good off-line professional vocabulary recognition effect.
The client side communicates with various different test instrument standards in a centralized manner, and the invention only needs to pay attention to the interaction with the client side and does not need to pay attention to the diversity of the test instruments.
The test corpus building based on electronic test and instrument control can be used for quickly completing paraphrasing of test special words with high precision and constructing an offline test corpus.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a block diagram of a speech recognition system according to an embodiment of the present invention;
FIG. 2 is a diagram of a test instrument voice recognition correlation architecture in accordance with an embodiment of the present invention;
FIG. 3 is a block diagram of a speech recognition circuit according to an embodiment of the present invention.
Detailed Description
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
The general idea provided by the invention is as follows:
the invention adopts a customizable voice wake-up mode to meet the private customization requirements of different customers, and activates test instrument equipment or a system through the wake-up word to carry out voice control; then, the voice recognition of the invention can carry on online or off-line recognition operation, can interact with API of other services through server or cloud under the online condition, realize including pronunciation analysis and subsequent cloud computing, backstage management and control, etc. many functions, can discern and test professional operation terms accurately under the off-line condition, after the voice module discerns the test command of the user, carry on the paraphrasing of the pronunciation word information through the logical processing module, finish the construction of the test instrument program control command code, and then through network transmission, push the program control command to the test instrument, have guaranteed standardization and reliability of voice control; finally, in the interaction process, the whole process of the invention can be communicated with the user through voice, the user is prompted to carry out corresponding operation, the test result can be fed back through voice broadcasting, manual configuration is not needed in the whole process, the user experience is greatly improved, and the operation cost is reduced.
Example one
The embodiment discloses a measuring instrument testing system based on voice control, which can realize customized equipment activation and voice recognition program control of testing terms based on a voice recognition technology of a measuring instrument. The voice interaction control technology based on electronic test replaces the traditional manual configuration, and the user and the equipment perform voice interaction in the whole process to complete the test and are not limited to simple on-off control; the electronic test-based voice online or offline recognition function can realize online or offline high-precision recognition of professional terms of a measuring instrument, can be applied to different industrial scene requirements such as a single machine or a cloud, can be used for building a test corpus based on electronic test and instrument control, can be used for quickly completing paraphrasing of test special words and establishing an offline test corpus with high precision, and solves the problem that the conventional intelligent voice equipment cannot accurately recognize the professional words.
Referring to fig. 1, in particular, a measurement instrument testing system based on voice control includes:
a voice recognition module and a client;
the voice recognition module firstly carries out filtering processing on the received voice, removes useless redundant information for voice recognition in a voice signal, carries out feature extraction by adopting a Mel frequency cepstrum coefficient mode, extracts feature parameters, matches the feature parameters with an acoustic model to obtain a recognition result, and analyzes the voice result by combining a voice decoding and search algorithm with a dictionary;
starting a voice feedback result after the test engineering and prompting to carry out parameter configuration operation, and gradually guiding a user to carry out engineering configuration before the test according to a business process until the engineering test is finally finished;
the voice recognition module is communicated with the test instrument through the client, the client receives the instruction of the voice recognition module, analyzes the instruction and configures the corresponding test instrument to perform related operation, the measurement result is displayed through the client and is sent to the voice recognition module, and the voice recognition module synthesizes and broadcasts the feedback result and performs the instruction operation of the next step.
Example II
Referring to fig. 2, a method for testing a measuring instrument based on voice control includes:
the embedded voice recognition system adopts an embedded voice recognition module hardware design, is provided with a four-channel ADC (analog to digital converter) shown in an attached figure 3, can recognize high-definition voice with the radius of 3 meters, and firstly carries out filtering processing on the received voice to eliminate noise interference so as to carry out next analysis.
And (3) voice recognition process: removing redundant information useless for voice recognition in voice signals, extracting features in a Mel Frequency Cepstrum Coefficient (MFCC) mode, extracting feature parameters, matching the extracted feature parameters with an acoustic model to obtain a recognition result, training voice data of a pre-recognized test professional instruction by using a Hidden Markov Model (HMM) for acoustic model modeling, and then transplanting the trained acoustic model into an embedded processor; the language model adopts an N-Gram model, the keyword association probability is obtained by training test term text information, and finally the voice result is analyzed by combining a voice decoding and searching algorithm and a dictionary.
When the voice recognition module is used, firstly, awakening words are required to be awakened, a user can independently set the awakening words, voice interaction can be carried out after the equipment is activated through the awakening words, and a program control command is sent; and then constructing a corpus, wherein the richer the corpus is, the more accurate the analysis effect is, and the voice recognition process is the same as the steps.
After voice information is recognized, the voice information can be interacted with the API of the server or other cloud services through the internet access under an online condition, so that various functions including cloud computing, background management and control and the like are achieved, complete business logic is achieved, and complex function processing can be carried out at a server or a cloud.
The identification in the off-line mode is to train a perfect special test voice model on the basis of constructing a complete special voice library and a program control command library, mainly aiming at the environment that an industrial application scene cannot be networked, and can accurately identify an operation instruction and finish the test operation.
The invention adds an interaction link based on the foundation and combining the application requirements of a test scene, starts the voice feedback result after the test project and prompts the operation of parameter configuration and the like, and guides a user to carry out the project configuration before the test step by step according to the business process until the project test is finally finished. Taking configuring a frequency spectrum as an example, a user wakes up equipment and then orders a project to be opened, the project needs to be a complete test sequence which is configured and completed at a client, after the project is opened, the corresponding instrument equipment such as a signal generator, a frequency spectrograph and the like can be initialized according to the test sequence, the user can be prompted by voice to successfully initialize and set an initial frequency after the initialization is successfully completed, the user can set the initial frequency to be 30MHz according to the prompt command, after the command is sent to be completed, the user can observe whether the initial frequency of the frequency spectrum instrument is 30MHz, the user can be prompted by voice to set a cut-off frequency in the next step after the configuration is successful, if the execution is failed, the user feeds back the cut-off frequency to the user, the user can make corresponding processing according to. The manual configuration of the traditional test engineering can be completely set by voice, and is convenient for users who are not familiar with environment configuration to use.
The voice module is connected with the test instrument through the client side to ensure the universality of voice control without paying attention to what kind of test instrument, the client side mainly establishes a test project and communicates with the test instrument, the voice sets the operations of starting, calibrating programs and parameter configuration of the test project, test suspension, test continuation and the like, the client side receives instructions and analyzes the instructions and configures the corresponding test instrument to perform related operations, the measurement results are displayed through the client side and are sent to the voice module, and the voice module synthesizes and broadcasts the feedback results and guides a user to perform the next instruction operation.
The voice module and the client are transmitted through a network, the connection mode is ZeroMQ, the transmission message is in a JSON format, and the message content sent to the client by the voice module contains information such as a test engineering name, an ID number, logic resources, hardware information, a calibration channel, parameters, variables, a measurement threshold, a program control address, a driver program path, a name and the like. The client feedback message contains information such as test resources, test execution results, measurement value threshold updating, calibration execution results, operation error notification and the like.
Through the design of the points, the limitation of the prior art is solved, the practical requirements of industrial application are met through improvement on the basis, and the function of testing the voice control measuring instrument is realized.
Those skilled in the art will appreciate that the modules or steps of the present invention described above can be implemented using general purpose computer means, or alternatively, they can be implemented using program code that is executable by computing means, such that they are stored in memory means for execution by the computing means, or they are separately fabricated into individual integrated circuit modules, or multiple modules or steps of them are fabricated into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (8)
1. A measuring instrument test system based on voice control is characterized by comprising:
a voice recognition module and a client;
the voice recognition module firstly carries out filtering processing on the received voice, removes useless redundant information for voice recognition in a voice signal, carries out feature extraction by adopting a Mel frequency cepstrum coefficient mode, extracts feature parameters, matches the feature parameters with an acoustic model to obtain a recognition result, and analyzes the voice result by combining a voice decoding and search algorithm with a dictionary;
starting a voice feedback result after the test engineering and prompting to carry out parameter configuration operation, and gradually guiding a user to carry out engineering configuration before the test according to a business process until the engineering test is finally finished;
the voice recognition module is communicated with the test instrument through the client, the client receives the instruction of the voice recognition module, analyzes the instruction and configures the corresponding test instrument to perform related operation, the measurement result is displayed through the client and is sent to the voice recognition module, and the voice recognition module synthesizes and broadcasts the feedback result and performs the instruction operation of the next step.
2. The speech-based measurement instrument test system according to claim 1, wherein the acoustic model modeling uses a hidden markov model and the language model uses an N-Gram model.
3. The voice-control-based measuring instrument test system as claimed in claim 1, wherein the voice recognition module is used for firstly waking up a wake-up word, independently setting the wake-up word, activating the device through the wake-up word and then performing voice interaction to send a program control command; and then constructing a corpus and analyzing the voice.
4. The system of claim 1, wherein the speech recognition module is transmitted over a network to the client in a zeroMQ format, the transmission message is in a JSON format, and the message content sent by the speech recognition module to the client includes a test project name, an ID number, a logic resource, hardware information, a calibration channel, a parameter, a variable, a measurement threshold, a program control address, a driver path, and name information;
the client feedback message comprises test resources, a test execution result, a measurement value threshold updating, a calibration execution result and operation error notification information.
5. A measuring instrument testing method based on voice control is characterized by comprising the following steps:
filtering the received voice, removing redundant information which is useless for voice recognition in the voice signal, extracting features by adopting a Mel frequency cepstrum coefficient mode, extracting feature parameters, matching the feature parameters with an acoustic model to obtain a recognition result, and analyzing the voice result by combining a voice decoding and searching algorithm with a dictionary;
and starting a voice feedback result after the test engineering, prompting to perform parameter configuration operation, and gradually guiding a user to perform engineering configuration before the test according to a business process until the engineering test is finally completed.
6. The method as claimed in claim 5, wherein after the voice information is recognized, the voice information is interacted with the API of the server or other services of the cloud end through the network port under an online condition, so that cloud computing and background management and control are realized, complete business logic is provided, and complex function processing is performed at the server end or the cloud end.
7. The method as claimed in claim 5, wherein the recognition in the offline mode is to train a well-trained voice model dedicated for testing on the basis of a complete dedicated language library and a program control command library, and to precisely recognize an operation command to complete the testing operation mainly in an environment where an industrial application scene cannot be networked.
8. The method as claimed in claim 5, wherein the client mainly performs the establishment of a test project and the communication with the test instrument, the voice sets the start, calibration procedure, parameter configuration, test suspension and test continuation operations of the test project, the client configures the corresponding test instrument to perform the related operations after receiving the command analysis, the measurement result is displayed through the client and sent to the voice recognition module, and the voice recognition module performs synthesis broadcast on the feedback result and guides the user to perform the next command operation.
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| CN112908342A (en) * | 2021-01-29 | 2021-06-04 | 康威通信技术股份有限公司 | Voice interaction device and method for track robot |
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| CN113572792A (en) * | 2021-09-26 | 2021-10-29 | 广东海纬地恒空间信息技术有限公司 | Engineering measurement intelligent management platform based on Internet of things |
| CN113593543A (en) * | 2020-04-30 | 2021-11-02 | 阿里巴巴集团控股有限公司 | Intelligent sound box voice service system, method, device and equipment |
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