CN212461143U - Voice recognition interaction system based on data visualization display technology - Google Patents
Voice recognition interaction system based on data visualization display technology Download PDFInfo
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- CN212461143U CN212461143U CN202021466315.2U CN202021466315U CN212461143U CN 212461143 U CN212461143 U CN 212461143U CN 202021466315 U CN202021466315 U CN 202021466315U CN 212461143 U CN212461143 U CN 212461143U
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Abstract
The utility model relates to the field of data visualization, and discloses a voice recognition interaction system based on a data visualization display technology, which comprises a voice acquisition module, a voice recognition module, an interaction control module and a data visualization display module, wherein the voice recognition module is connected with the voice acquisition module; the data visualization display module and the voice recognition module are respectively connected with the interactive control module; the interaction control module comprises a plurality of operators, and the operators are voice broadcast corpus operators or data visual switching instruction operators. The utility model discloses combined the speech recognition technique, through discerning voice message and analysis processes, solved the problem that needs both hands remote control large screen in the visual module of data to can in time switch relevant business data picture according to user's speech information, can dig out the business data information that involves in the visual picture show automatically and feed back to the user in time, convenient operation is swift.
Description
Technical Field
The utility model relates to a visual field of data specifically relates to a speech recognition interactive system based on visual display technique of data.
Background
In the last two decades, the speech recognition technology has made a significant progress, and starts to move from the laboratory to the market, and in the next 10 years, the speech recognition technology will enter various fields such as industry, home appliances, communication, automotive electronics, medical treatment, home services, consumer electronics, and the like. Also, with the explosion of the big data industry, many enterprises are beginning to apply data visualization. A large amount of historical data and real-time data are applied, visualized and abstracted, and business, decision and planning are analyzed from the data, so that the data iteration promotes the development and progress of enterprises.
In the current data visualization application case, a mosaic screen system is usually used for large-screen high-resolution rendering, and a user uses a large-screen visualization display picture for service scenes, such as presentation and reporting, operation monitoring and the like. However, the visual display picture of the existing large screen usually needs to be remotely controlled by two hands, and the operation is inconvenient.
SUMMERY OF THE UTILITY MODEL
The utility model provides a speech recognition interactive system based on visual display technology of data to solve the above-mentioned problem of prior art.
The utility model provides a voice recognition interactive system based on data visualization display technology, which comprises a voice acquisition module, a voice recognition module, an interactive control module and a data visualization display module, wherein the voice recognition module is connected with the voice acquisition module; the data visualization display module and the voice recognition module are respectively connected with the interactive control module; the interactive control module comprises a plurality of operators, and the operators are voice broadcast corpus operators or data visualization switching instruction operators;
the voice acquisition module is used for recording voice and sending the voice information of the user after the voice recording to the voice recognition module;
the voice recognition module is used for carrying out online recognition on the voice information by the cloud platform or the server and sending a recognition result to the interactive control module or the sound acquisition module;
the interactive control module is used for receiving the recognition result and sending a control instruction to the data visualization display module according to the recognition result; the data visualization display module is also used for analyzing the message sent by the data visualization display module and executing a corresponding operator according to the analysis result;
and the data visualization display module is used for carrying out information interaction with the interaction control module and displaying related data visualization pictures.
Furthermore, the sound collection module comprises an upper computer, an omnidirectional array microphone, a status indicator light and a loudspeaker; the upper computer is respectively connected with the omnidirectional array microphone, the state indicator lamp and the loudspeaker; the omnidirectional array microphone is connected with the upper computer through an amplifier.
Further, the upper computer also comprises a voice monitoring module; and the voice monitoring module is used for monitoring and recording the voice information of the user, carrying out overtime judgment in the monitoring and recording process and sending the recorded voice information of the user to the voice recognition module.
Further, the upper computer also comprises a storage module and a wake-up instruction identification module, wherein the storage module stores the monitored and recorded user voice information and the wake-up instruction; and the awakening instruction identification module is used for comparing the voice instruction sent by the user with the awakening instruction so as to awaken the voice monitoring module.
The utility model discloses avoid user's maloperation (if a plurality of users are talking, may mention that the recognizable command sentence of system causes the mistake execution) increased awakening mechanism, the lock screen/unblock mechanism of similar cell-phone. When the voice monitoring module is in a closed state, a user speaks a voice instruction through the voice acquisition module, the system firstly judges whether the voice monitoring module is started or not, if so, the system is indicated to be in an activated state, and the voice information of the monitored and recorded user is sent to the voice recognition module; if not, identifying the awakening instruction, starting the voice monitoring module when the identification is successful, and performing voice output prompt and state light change to prompt the user; and if the awakening word is not recognized, the voice information of the user is not sent to the voice recognition module.
Furthermore, the upper computer further comprises a biological voice recognition module, the storage module further stores biological sound signals of the user, and the biological voice recognition module is used for comparing the voice input signals collected by the omnidirectional array microphone with the biological sound signals stored in the storage module, so that the voice monitoring module is awakened.
The utility model discloses still set up biological speech recognition's mode, compared the biological sound signal of storage in user's speech input signal and the storage module, after comparing successfully, then awaken the pronunciation and monitor the module, the utility model discloses can judge whether awaken the pronunciation and monitor the module from meaning of a word (awaken the instruction) and signal comparison two aspects simultaneously to strengthen the security of whole system, prevented that outside personnel from carrying out illegal operation.
Further, the sound collection module further includes an LMS (least Mean square) adaptive filter noise reduction module, and the LMS adaptive filter noise reduction module is used for performing noise reduction processing on the voice input signal or the monitored and recorded user voice information.
The minimum mean square self-adaptive filtering noise reduction module is adopted to perform noise reduction processing on the user voice information, so that the recognition of the user voice information is facilitated, and the recognition accuracy is improved.
Furthermore, the sound collection module is connected with the voice recognition module through wires or wirelessly.
Further, the data visualization display module comprises a data processing server, an application server and an image rendering server; the data processing server is used for collecting, storing and preprocessing the service data; the application server is used for carrying out information interaction among other servers; the image rendering server is used for displaying a data visualization result; the data processing server is connected with the application server, and the application server is connected with the image rendering server; the application server is connected with the interactive control module.
The utility model also provides a speech recognition interaction method based on data visualization show technique, including following step:
s1) collecting the voice instruction sent by the user by using the voice collecting module, judging whether the voice monitoring module is started, if so, entering the step S3); if not, judging whether the voice command is a wakeup command, and if not, repeating the step; if yes, the voice monitoring module is awakened, and the step S2 is entered;
s2) the status indicator lights up the white status light, the speaker prompts the voice monitoring module to be awakened, and the step S3 is entered);
s3) recording user voice information by using a voice acquisition module, storing the user voice information and sending the user voice information to a voice recognition module, judging whether the user voice information is recognized by using the voice recognition module, if not, lighting red state light by using a state indicator light, and entering step S5); if yes, go to step S4);
s4) carrying out online recognition on the user voice information by using the voice recognition module, acquiring a recognition result, and carrying out service processing corresponding to the recognition result according to the recognition result;
s5), setting voice recording overtime time, judging whether voice information is detected in the voice recording overtime time, and if so, returning to the step S3); if not, the voice monitoring module is closed.
Further, in step S4), the service processing includes service instruction processing, polyphonic set option processing, threshold value warning information reminding processing, condition addition processing or processing beyond system processing capability;
the service instruction processing module is used for sending the service instruction information to the data visualization display module through the interaction control module when the identification result is the service instruction information, the data visualization display module performs visualization picture display of related data according to the service instruction information, and a loudspeaker is used for playing a voice prompt related to the service instruction information;
the multi-tone set option processing is used for judging whether the multi-tone set option exists in the recognition result or the voice information of the user, and if not, the state indicator lamp lights the red state light to prompt the user; if so, providing a polyphonic set related to the recognition result for the user, and waiting for user feedback and acquiring option recognition information by the voice recognition module; judging whether the above information exists according to the option identification information, if so, matching the option identification information with the above information to generate new service instruction information, and performing service instruction processing according to the new service instruction information;
the threshold early warning information reminding processing is used for setting a plurality of data thresholds and data threshold conditions related to different types of service data in the application server, monitoring data information related to visual picture display by using the application server, sending a service data threshold instruction to the interaction control module by using the application server when the data information related to the visual picture display monitored by the application server meets the data threshold conditions related to the data information, analyzing the service data threshold instruction by using the interaction control module, and executing an operator corresponding to the service data threshold instruction;
the condition additional processing is used for performing semantic analysis on the user voice information by using the voice recognition module and judging whether the user voice information exists, if so, the voice recognition module regenerates an instruction according to the user voice information and sends the instruction to the interaction control module and/or the sound acquisition module; if not, the state indicator lights up red state light;
and the operation processing beyond the system processing capacity is used for lightening red state light by the state indicator light when the voice information recognized in the recognition result or the service processing process exceeds the system processing capacity.
The utility model has the advantages that: the utility model discloses combined the speech recognition technique in data visualization system, through discerning voice message, and analysis processes, solved the problem that needs both hands remote control large screen in the data visualization module to can in time switch relevant business data picture according to user's speech information, perhaps dig out the business data information that involves in the visual picture show automatically, and feed back to the user in time, convenient operation is swift.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed to be used in the embodiments are briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a voice recognition interactive system according to an embodiment of the present invention.
Fig. 2 is a schematic flow chart of a voice recognition interaction method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the invention, are given by way of illustration only. It is noted that the terms "comprises" and "comprising," and any variations thereof, in the description and claims of the present invention and the above-described drawings are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of elements is not necessarily limited to those elements, but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The first embodiment of the present invention provides a voice recognition interactive system based on data visualization display technology, as shown in fig. 1, including a voice collecting module, a voice recognition module, an interactive control module and a data visualization display module, where the voice collecting module is connected with the voice recognition module through a wire or wirelessly; the data visualization display module and the voice recognition module are respectively connected with the interactive control module; the interactive control module is provided with a plurality of operators, and the operators are voice broadcast corpus operators or data visualization switching instruction operators;
the voice acquisition module is used for recording voice and sending the voice information of the user after the voice recording to the voice recognition module;
the voice recognition module is used for carrying out online recognition on the voice information by the cloud platform or the server and sending a recognition result to the interactive control module or the sound acquisition module;
the interactive control module is used for receiving the recognition result and sending a control instruction to the data visualization display module according to the recognition result; the data visualization display module is also used for analyzing the message sent by the data visualization display module and executing a corresponding operator according to the analysis result;
and the data visualization display module is used for carrying out information interaction with the interaction control module and displaying related data visualization pictures.
The sound acquisition module comprises an upper computer, an omnidirectional array microphone, a state indicator light and a loudspeaker; the upper computer is respectively connected with the omnidirectional array microphone, the state indicator lamp and the loudspeaker; the omnidirectional array microphone is connected with the upper computer through an amplifier.
The upper computer also comprises a voice monitoring module; and the voice monitoring module is used for monitoring and recording the voice information of the user, carrying out overtime judgment in the monitoring and recording process and sending the recorded voice information of the user to the voice recognition module.
The upper computer also comprises a storage module and a wake-up instruction identification module, wherein the storage module stores the monitored and recorded user voice information and the wake-up instruction; and the awakening instruction identification module is used for comparing the voice instruction sent by the user with the awakening instruction so as to awaken the voice monitoring module.
The utility model discloses avoid user's maloperation (if a plurality of users are talking, may mention that the recognizable command sentence of system causes the wrong execution) increased the awakening mechanism. When the voice monitoring module is in a closed state, a user speaks a voice instruction through the voice acquisition module, the system firstly judges whether the voice monitoring module is started or not, if so, the system is indicated to be in an activated state, and the voice information of the monitored and recorded user is sent to the voice recognition module; if not, identifying the awakening instruction, starting the voice monitoring module when the identification is successful, and performing voice output prompt and state light change to prompt the user; and if the awakening word is not recognized, the voice information of the user is not sent to the voice recognition module.
The upper computer further comprises a biological voice recognition module, the storage module further stores biological sound signals of a user, and the biological voice recognition module is used for comparing voice input signals collected by the omnidirectional array microphone with the biological sound signals stored in the storage module, so that the voice monitoring module is awakened.
The utility model discloses still set up biological speech recognition's mode, compared the biological sound signal of storage in user's speech input signal and the storage module, after comparing successfully, then awaken the pronunciation and monitor the module, the utility model discloses can judge whether awaken the pronunciation and monitor the module from meaning of a word (awaken the instruction) and signal comparison two aspects simultaneously to strengthen the security of whole system, prevented that outside personnel from carrying out illegal operation.
The sound collection module also comprises an LMS (least Mean square) adaptive filter noise reduction module, and the LMS adaptive filter noise reduction module is used for carrying out noise reduction processing on the voice input signal or the monitored and recorded user voice information.
The minimum mean square self-adaptive filtering noise reduction module is adopted to perform noise reduction processing on the user voice information, so that the recognition of the user voice information is facilitated, and the recognition accuracy is improved.
The data visualization display module comprises a large screen, a data processing server, an application server and an image rendering server; the data processing server is used for collecting, storing and preprocessing the service data; the application server is used for carrying out information interaction among other servers; the image rendering server is used for displaying a data visualization result; the data processing server is connected with the application server, and the application server is connected with the image rendering server; the application server is connected with the interactive control module; the image rendering server is connected with the large screen.
The application server is essentially a middleware server for information interaction among other servers (namely, the data processing server, the image rendering server and the interaction control module), and the application server is arranged among the image rendering server, the data processing server and the interaction control module and establishes data information communication among the other servers.
In a second aspect, the embodiment a provides a voice recognition interaction method based on a data visualization presentation technology, which includes the following steps:
s1) collecting the voice instruction sent by the user by using the voice collecting module, judging whether the voice monitoring module is started, if so, entering the step S3); if not, judging whether the voice command is a wakeup command, and if not, repeating the step; if yes, the voice monitoring module is awakened, and the step S2 is entered;
s2) the status indicator lights up the white status light, the speaker prompts the voice monitoring module to be awakened, and the step S3 is entered);
s3) recording user voice information by using a voice acquisition module, storing the user voice information and sending the user voice information to a voice recognition module, judging whether the user voice information is recognized by using the voice recognition module, if not, lighting red state light by using a state indicator light, and entering step S5); if yes, go to step S4);
s4) carrying out online recognition on the user voice information by using the voice recognition module, acquiring a recognition result, and carrying out service processing corresponding to the recognition result according to the recognition result;
s5), setting voice recording overtime time, judging whether voice information is detected in the voice recording overtime time, and if so, returning to the step S3); if not, the voice monitoring module is closed.
Step S4), the service processing comprises service instruction processing, polyphonic set option processing, threshold early warning information reminding processing, condition additional processing or processing beyond system processing capacity;
the service instruction processing module is used for sending the service instruction information to the data visualization display module through the interaction control module when the identification result is the service instruction information, the data visualization display module performs visualization picture display of related data according to the service instruction information, and a loudspeaker is used for playing a voice prompt related to the service instruction information;
the multi-tone set option processing is used for judging whether the multi-tone set option exists in the recognition result or the voice information of the user, and if not, the state indicator lamp lights the red state light to prompt the user; if so, providing a polyphonic set related to the recognition result for the user, and waiting for user feedback and acquiring option recognition information by the voice recognition module; judging whether the above information exists according to the option identification information, if so, matching the option identification information with the above information to generate new service instruction information, and performing service instruction processing according to the new service instruction information;
the threshold early warning information reminding processing is used for setting a plurality of data thresholds and data threshold conditions (for example, the service data is temperature, the temperature threshold is set to be 30 ℃, and the data threshold condition is set to be more than 30 ℃), the data information related to the visual picture display is monitored by the application server, when the data information related to the visual picture display monitored by the application server meets the data threshold condition related to the data information, the application server sends a service data threshold instruction to the interaction control module, the service data threshold instruction comprises a data threshold condition ID and a current service data threshold, the interaction control module analyzes the service data threshold instruction, and executes an operator corresponding to the service data threshold instruction.
And the interactive control module is configured with a service data corpus operator and a data visualization switching instruction corpus operator, and after the application server sends a service data threshold instruction to the interactive control module, the interactive control module analyzes the service data threshold instruction and executes an operator corresponding to the service data threshold instruction. For example, the service data corpus operator sends the broadcast corpus related to the service data to the sound collection module, and the broadcast corpus related to the service data is played through the sound collection module. The data visualization switching instruction corpus operator firstly sends inquiry information (such as 'whether to switch temperature data pictures') to a user, and after receiving confirmation information fed back by the user, the data visualization switching instruction corpus operator sends a data visualization switching instruction to the data visualization display module, and corresponding data visualization display is carried out through the data visualization display module.
The condition additional processing is used for performing semantic analysis on the user voice information by using the voice recognition module and judging whether the user voice information exists, if so, the voice recognition module regenerates an instruction according to the user voice information and sends the instruction to the interaction control module and/or the sound acquisition module; if not, the state indicator lights up red state light;
and the operation processing beyond the system processing capacity is used for lighting the red state light by the state indicator light when the recognized voice information exceeds the system processing capacity (for example, the recognized voice information cannot be matched with corresponding service instruction information) in the recognition result or the service processing process.
The utility model has the advantages that: the utility model discloses combined the speech recognition technique in data visualization system, through discerning voice message, and analysis processes, solved the problem that needs both hands remote control large screen in the data visualization module to can in time switch relevant business data picture according to user's speech information, perhaps dig out the business data information that involves in the visual picture show automatically, and feed back to the user in time, convenient operation is swift.
The above is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, a plurality of improvements and decorations can be made without departing from the principle of the present invention, and these improvements and decorations should also be viewed as the protection scope of the present invention.
Claims (8)
1. A voice recognition interactive system based on data visualization display technology is characterized by comprising a voice acquisition module, a voice recognition module, an interactive control module and a data visualization display module, wherein the voice recognition module is connected with the voice acquisition module; the data visualization display module and the voice recognition module are respectively connected with the interactive control module; the interactive control module comprises a plurality of operators, and the operators are voice broadcast corpus operators or data visualization switching instruction operators;
the voice acquisition module is used for recording voice and sending the voice information of the user after the voice recording to the voice recognition module;
the voice recognition module is used for performing online recognition on the voice information by a cloud platform or a server and sending a recognition result to the interaction control module or the sound acquisition module;
the interactive control module is used for receiving the identification result and sending a control instruction to the data visualization display module according to the identification result; the data visualization display module is also used for analyzing the message sent by the data visualization display module and executing a corresponding operator according to the analysis result;
and the data visualization display module is used for carrying out information interaction with the interaction control module and displaying related data visualization pictures.
2. The voice recognition interaction system based on the data visualization display technology as claimed in claim 1, wherein the sound collection module comprises an upper computer, an omnidirectional array microphone, a status indicator light and a loudspeaker; the upper computer is respectively connected with the omnidirectional array microphone, the status indicator lamp and the loudspeaker; the omnidirectional array microphone is connected with the upper computer through an amplifier.
3. The voice recognition interaction system based on the data visualization display technology as claimed in claim 2, wherein the upper computer further comprises a voice monitoring module; the voice monitoring module is used for monitoring and recording the voice information of the user, carrying out overtime judgment in the monitoring and recording process and sending the recorded voice information of the user to the voice recognition module.
4. The voice recognition interaction system based on the data visualization display technology as claimed in claim 3, wherein the upper computer further comprises a storage module and a wake-up instruction recognition module, and the storage module stores the user voice information and wake-up instruction which are monitored and recorded; and the awakening instruction identification module is used for comparing the voice instruction sent by the user with the awakening instruction so as to awaken the voice monitoring module.
5. The voice recognition interaction system based on the data visualization display technology as claimed in claim 4, wherein the upper computer further comprises a biological voice recognition module, the storage module further stores biological voice signals of a user, and the biological voice recognition module is configured to compare the voice input signals collected by the omnidirectional array microphone with the biological voice signals stored in the storage module, so as to wake up the voice monitoring module.
6. The voice recognition interaction system based on the data visualization presentation technology as claimed in claim 5, wherein the sound collection module further comprises an LMS adaptive filter noise reduction module, and the LMS adaptive filter noise reduction module is configured to perform noise reduction processing on the voice input signal or the monitored and recorded user voice information.
7. The voice recognition interaction system based on the data visualization display technology as claimed in claim 1 or 2, wherein the sound collection module is connected with the voice recognition module through a wire or wirelessly.
8. The voice recognition interaction system based on the data visualization presentation technology as claimed in claim 1, wherein the data visualization presentation module comprises a data processing server, an application server and an image rendering server; the data processing server is used for collecting service data, storing and preprocessing the service data; the application server is used for information interaction among other servers; the image rendering server is used for displaying a data visualization result; the data processing server is connected with the application server, and the application server is connected with the image rendering server; the application server is connected with the interaction control module.
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| CN113658592A (en) * | 2021-07-29 | 2021-11-16 | 脑谷人工智能研究院(南京)有限公司 | Data visualization system capable of supporting voice recognition function |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113658592A (en) * | 2021-07-29 | 2021-11-16 | 脑谷人工智能研究院(南京)有限公司 | Data visualization system capable of supporting voice recognition function |
| CN113658592B (en) * | 2021-07-29 | 2024-04-02 | 浙江亿秒数字科技有限公司 | Data visualization system capable of supporting voice recognition function |
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