CN113299291A - Recording storage method, device and equipment based on keywords and storage medium - Google Patents

Recording storage method, device and equipment based on keywords and storage medium Download PDF

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Publication number
CN113299291A
CN113299291A CN202110539874.4A CN202110539874A CN113299291A CN 113299291 A CN113299291 A CN 113299291A CN 202110539874 A CN202110539874 A CN 202110539874A CN 113299291 A CN113299291 A CN 113299291A
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Prior art keywords
recording
keywords
audio data
keyword
data
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Chinese (zh)
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范永佳
李健
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Beijing Minglue Zhaohui Technology Co Ltd
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Beijing Minglue Zhaohui Technology Co Ltd
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Priority to CN202110539874.4A priority Critical patent/CN113299291A/en
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    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/26Speech to text systems
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/16Speech classification or search using artificial neural networks
    • GPHYSICS
    • G11INFORMATION STORAGE
    • G11CSTATIC STORES
    • G11C7/00Arrangements for writing information into, or reading information out from, a digital store
    • G11C7/16Storage of analogue signals in digital stores using an arrangement comprising analogue/digital [A/D] converters, digital memories and digital/analogue [D/A] converters 

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  • Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The application discloses a keyword-based recording preservation method, a keyword-based recording preservation device and a recording storage medium, wherein the method comprises the following steps: and a keyword definition step: defining keywords controlled by voice; and (3) data processing: and performing voice recognition on audio data in the recording equipment through a pre-constructed voice recognition model, and performing data processing on the audio data according to the keywords. Through this application, the problem is preserved to intelligent recording, and personnel's privacy is worn in the protection, and personnel's polite and polite wording is worn to the standard.

Description

Recording storage method, device and equipment based on keywords and storage medium
Technical Field
The invention relates to the technical field of deep learning. More specifically, the invention relates to a recording storage method, device, equipment and storage medium based on keywords.
Background
Nowadays, the enterprise often sends the work card for the staff so that work, and work card formula recording equipment has possessed the recording function, records whole course of operation through the recording, perfects and improves work, nevertheless still has following problem among the recording process:
1. under certain scenes (such as a washroom), a wearer does not want to record the record of the employee card and store the record, and the record is manually switched on and off, so that the method is inconvenient for the employee, and even forgets to turn off the record sometimes, so that the scenes which are not required to be recorded are recorded, and the discomfort of the employee is caused;
2. in a scene needing recording, a wearing person sometimes forgets to turn on the recording, so that a service process is not recorded.
Disclosure of Invention
In order to solve the above problems, the present invention provides a keyword-based recording preservation method, wherein the method comprises:
and a keyword definition step: defining keywords controlled by voice;
and (3) data processing: and performing voice recognition on audio data in the recording equipment through a pre-constructed voice recognition model, and performing data processing on the audio data according to the keywords.
The recording storage method based on the keyword further comprises a voice recognition model generation step for generating the voice recognition model, wherein the voice recognition model generation step specifically comprises the following steps:
a model generation step: collecting recording data with the keywords, and generating the voice recognition model based on the recording data;
model transplanting: and transplanting the voice recognition model into the recording device.
The keyword-based sound recording storage method comprises the following data processing steps:
a voice recognition step: performing voice recognition processing on the audio data through an algorithm recognition module to obtain a recognition text;
text analysis: analyzing the identification text and judging whether the keywords appear in the audio data;
data segmentation step: and segmenting the audio data according to the keywords appearing in the identification text.
The record storage method based on the keywords comprises the steps of starting the keywords and closing the keywords, and the data segmentation step specifically comprises the following steps:
a step of segment marking: carrying out segmentation marking on the audio data according to the opening keywords and the closing keywords;
recording and storing: storing and transmitting the audio data added with the mark to a server;
and recording deletion step: deleting the audio data to which the mark is not added.
Based on the same invention idea, the invention also discloses a record preservation system based on the keywords based on the record preservation method based on any one of the inventions,
the keyword-based recording preservation system comprises:
the keyword definition module is used for defining keywords controlled by voice;
and the data processing module is used for carrying out voice recognition on the audio data in the recording equipment through a pre-constructed voice recognition model and carrying out data processing on the audio data according to the keywords.
The above-mentioned record saving system based on keyword, wherein, still include speech recognition model generation module, generate the speech recognition model, the speech recognition model generation module specifically includes:
the model generating unit is used for collecting recording data with the keywords and generating the voice recognition model based on the recording data;
and the model transplanting unit is used for transplanting the voice recognition model into the recording equipment.
The keyword-based recording preservation system, wherein the data processing module specifically includes:
the voice recognition unit is used for carrying out voice recognition processing on the audio data through an algorithm recognition module to obtain a recognition text;
the text analysis unit is used for analyzing the identification text and judging whether the keywords appear in the audio data or not;
and the data segmentation unit is used for segmenting the audio data according to the keywords appearing in the identification text.
The record storage system based on the keywords, wherein the keywords include opening keywords and closing keywords, and the data segmentation unit specifically includes:
the segmentation marking unit is used for carrying out segmentation marking on the audio data according to the opening keywords and the closing keywords;
the recording storage unit is used for storing the audio data added with the marks and transmitting the audio data to the server;
and the recording deleting unit deletes the audio data without the added marks.
The invention further includes a device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements any of the above-mentioned keyword-based recording preservation methods when executing the computer program.
The present invention further includes a storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements any of the above-mentioned keyword-based sound recording preservation methods.
Compared with the prior art, the invention has the following beneficial effects:
1. the method can be applied to the technical field of deep learning, and audio data of the recording equipment are stored or deleted through preset keywords;
2. expanding the recording storage mode of the recording equipment;
3. the problem of intelligent recording and storage is solved, the privacy of recording personnel is protected, and the recording system is more humanized;
4. the polite words of the recording personnel are standardized.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flowchart illustrating an overall record keeping method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a technical solution provided by an embodiment of the present invention;
FIG. 3 is a flowchart illustrating the overall process of step S2 disclosed in FIG. 1;
FIG. 4 is a flowchart illustrating the overall process of step S3 disclosed in FIG. 1;
FIG. 5 is a flowchart illustrating the whole step S33 disclosed in FIG. 1;
FIG. 6 is a structural framework diagram of a record keeping system based on keywords according to this embodiment;
fig. 7 is a block diagram of a computer device according to an embodiment of the present invention.
In the above figures:
1. a keyword definition module; 2. a speech recognition model generation module; 3. a data processing module; 21. a model generation unit; 22. a model transplanting unit; 31. a voice recognition unit; 32. a text word segmentation unit; 33. a data segmentation unit; 331. a segment marking unit; 332. a recording storage unit; 333. a recording deletion unit; 80. a bus; 81. a processor; 82. a memory; 83. a communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as referred to herein means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Reference to the terms "first," "second," "third," and the like in this application merely distinguishes similar objects and is not to be construed as referring to a particular ordering of objects.
The present invention is described in detail with reference to the embodiments shown in the drawings, but it should be understood that these embodiments are not intended to limit the present invention, and those skilled in the art should understand that the functional, methodological, or structural equivalents of these embodiments or alternatives thereof fall within the scope of the present invention.
Before describing in detail the various embodiments of the present invention, the core inventive concepts of the present invention are summarized and described in detail by the following several embodiments.
The invention can process the audio data of the recording equipment based on the preset keywords.
The first embodiment is as follows:
referring to fig. 1-5, the present embodiment discloses a specific implementation of a keyword-based recording preservation method (hereinafter referred to as "method").
Specifically, referring to fig. 1 and 2, the method disclosed in this embodiment includes the following steps:
and S1, defining keywords of voice control.
Specifically, in some of these embodiments, the keywords are divided into two groups, one open keyword and one close keyword. For example: the opening keyword can be set to be "welcome", "mr/woman, you good", "happy to serve you", etc.; the close keyword may be set to "welcome next time on", "you walk slowly", etc.
Then, step S2 is executed to generate a speech recognition model.
Specifically, in some embodiments, referring to fig. 3, the step S2 specifically includes the following steps:
s21, collecting recording data with the keywords, and generating the voice recognition model based on the recording data;
and S22, transplanting the voice recognition model into the recording equipment.
Specifically, in some embodiments, for example, 1000 pieces of recording data with related keywords may be collected, a recognition model of the keywords may be trained using a DNN training model constructed by a server based on the recording data, and finally a speech recognition model may be generated.
Specifically, in some embodiments, the speech recognition model is transplanted into the recording device, and all audio data of the recording device is first passed through the speech recognition model to determine whether the keyword is detected.
And then executing step S3, performing speech recognition on the audio data in the sound recording device through a pre-constructed speech recognition model, and performing data processing on the audio data according to the keyword.
Specifically, referring to fig. 4, the step S3 specifically includes the following steps:
s31, performing voice recognition processing on the audio data through an algorithm recognition module to obtain a recognition text;
s32, analyzing the recognition text, and judging whether the keywords appear in the audio data;
s33, segmenting the audio data according to the keywords appearing in the recognition text.
Specifically, referring to fig. 5, the step S33 specifically includes the following steps:
s331, marking the audio data in a segmented manner according to the opening keywords and the closing keywords;
s332, storing the marked audio data and transmitting the audio data to a server;
and S333, deleting the audio data without the added marks.
Specifically, in some embodiments, after the opening keyword is detected, the recorded audio data is stored in the memory bank of the recording device, and the service process of the wearing person is recorded. When the closing keyword is detected, the recording storage function is closed, recording data is discarded and is not recorded in a memory bank of the work card, and the privacy of the recording wearing personnel is avoided.
Specifically, the recording equipment performs recording to obtain audio data, performs voice recognition processing on the audio data through an algorithm recognition module built in the recording equipment to obtain a recognition text, analyzes the recognition text, and judges whether preset keywords appear in the audio data; segmenting the audio data according to preset keywords: the audio between the keywords (namely the keywords of opening and closing) which appear in pairs is labeled in a segmented mode; and storing the marked audio segments, transmitting the marked audio segments to the server, and deleting the unmarked audio segments.
The recording storage method based on the keywords can be applied to the technical field of deep learning, and audio data of recording equipment can be stored or deleted through the preset keywords; expanding the recording storage mode of the recording equipment; the problem of intelligent recording and storage is solved, the privacy of recording personnel is protected, and the recording system is more humanized; the polite words of the recording personnel are standardized.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Example two:
in combination with the method for saving a record based on a keyword disclosed in the first embodiment, the present embodiment discloses a specific implementation example of a record saving system (hereinafter referred to as "system") based on a keyword.
Referring to fig. 6, the system includes:
a keyword definition module 1 for defining a keyword for voice control;
the speech recognition model generation module 2 generates a speech recognition model;
and the data processing module 3 is used for carrying out voice recognition on the audio data in the recording equipment through a pre-constructed voice recognition model and carrying out data processing on the audio data according to the keywords.
Specifically, in some embodiments, the speech recognition model generation module 2 specifically includes:
a model generation unit 21 that collects recording data with the keyword and generates the speech recognition model based on the recording data;
a model transplanting unit 22 that transplants the speech recognition model into the recording apparatus.
Specifically, in some embodiments, the data processing module 3 specifically includes:
the voice recognition unit 31 performs voice recognition processing on the audio data through an algorithm recognition module to obtain a recognition text;
a text analysis unit 32, which analyzes the recognized text and determines whether the keyword appears in the audio data;
and the data segmentation unit 33 is used for segmenting the audio data according to the keywords appearing in the identification text.
Specifically, in some embodiments, the data slicing unit 33 specifically includes:
a segment marking unit 331 configured to segment mark the audio data according to the opening keyword and the closing keyword;
a recording storage unit 332 for storing the audio data added with the tag and transmitting the audio data to the server;
a recording deletion unit 333 that deletes the audio data to which no mark is added.
Please refer to the description of the first embodiment, which is not repeated herein, for a technical solution of the same parts in the system and the method for storing a keyword-based recording disclosed in the first embodiment.
Example three:
referring to FIG. 7, the embodiment discloses an embodiment of a computer device. The computer device may comprise a processor 81 and a memory 82 in which computer program instructions are stored.
Specifically, the processor 81 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
Memory 82 may include, among other things, mass storage for data or instructions. By way of example, and not limitation, memory 82 may include a Hard Disk Drive (Hard Disk Drive, abbreviated to HDD), a floppy Disk Drive, a Solid State Drive (SSD), flash memory, an optical Disk, a magneto-optical Disk, tape, or a Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 82 may include removable or non-removable (or fixed) media, where appropriate. The memory 82 may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory 82 is a Non-Volatile (Non-Volatile) memory. In particular embodiments, Memory 82 includes Read-Only Memory (ROM) and Random Access Memory (RAM). The ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), Electrically rewritable ROM (EAROM), or FLASH Memory (FLASH), or a combination of two or more of these, where appropriate. The RAM may be a Static Random-Access Memory (SRAM) or a Dynamic Random-Access Memory (DRAM), where the DRAM may be a Fast Page Mode Dynamic Random-Access Memory (FPMDRAM), an Extended data output Dynamic Random-Access Memory (EDODRAM), a Synchronous Dynamic Random-Access Memory (SDRAM), and the like.
The memory 82 may be used to store or cache various data files for processing and/or communication use, as well as possible computer program instructions executed by the processor 81.
The processor 81 reads and executes the computer program instructions stored in the memory 82 to implement any one of the keyword-based sound recording saving methods in the above embodiments.
In some of these embodiments, the computer device may also include a communication interface 83 and a bus 80. As shown in fig. 7, the processor 81, the memory 82, and the communication interface 83 are connected via the bus 80 to complete communication therebetween.
The communication interface 83 is used for implementing communication between modules, devices, units and/or equipment in the embodiment of the present application. The communication port 83 may also be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.
Bus 80 includes hardware, software, or both to couple the components of the computer device to each other. Bus 80 includes, but is not limited to, at least one of the following: data Bus (Data Bus), Address Bus (Address Bus), Control Bus (Control Bus), Expansion Bus (Expansion Bus), and Local Bus (Local Bus). By way of example, and not limitation, Bus 80 may include an Accelerated Graphics Port (AGP) or other Graphics Bus, an Enhanced Industry Standard Architecture (EISA) Bus, a Front-Side Bus (FSB), a Hyper Transport (HT) Interconnect, an ISA (ISA) Bus, an InfiniBand (InfiniBand) Interconnect, a Low Pin Count (LPC) Bus, a memory Bus, a microchannel Architecture (MCA) Bus, a PCI (Peripheral Component Interconnect) Bus, a PCI-Express (PCI-X) Bus, a Serial Advanced Technology Attachment (SATA) Bus, a Video Electronics Bus (audio Electronics Association), abbreviated VLB) bus or other suitable bus or a combination of two or more of these. Bus 80 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.
The computer device may implement the record keeping based on the keywords, thereby implementing the method described in connection with fig. 1.
In addition, in combination with the keyword-based recording preservation method in the foregoing embodiments, embodiments of the present application may provide a computer-readable storage medium to implement the method. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the keyword-based sound recording preservation methods of the above embodiments.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
In summary, the recording preservation method based on the keywords has the advantages that the recording preservation method based on the keywords can be applied to the technical field of deep learning, and audio data of recording equipment can be preserved or deleted through the preset keywords; expanding the recording storage mode of the recording equipment; the problem of intelligent recording and storage is solved, the privacy of recording personnel is protected, and the recording system is more humanized; the polite words of the recording personnel are standardized.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A record storage method based on keywords is characterized by comprising the following steps:
and a keyword definition step: defining keywords controlled by voice;
and (3) data processing: and performing voice recognition on audio data in the recording equipment through a pre-constructed voice recognition model, and performing data processing on the audio data according to the keywords.
2. The keyword-based sound recording preservation method according to claim 1, further comprising a speech recognition model generation step of generating the speech recognition model, wherein the speech recognition model generation step specifically comprises the steps of:
a model generation step: collecting recording data with the keywords, and generating the voice recognition model based on the recording data;
model transplanting: and transplanting the voice recognition model into the recording device.
3. The keyword-based sound recording preservation method according to claim 2, wherein the data processing step specifically includes the steps of:
a voice recognition step: performing voice recognition processing on the audio data through an algorithm recognition module to obtain a recognition text;
text analysis: analyzing the identification text and judging whether the keywords appear in the audio data;
data segmentation step: and segmenting the audio data according to the keywords appearing in the identification text.
4. The keyword-based sound recording preservation method according to claim 3, wherein the keywords include an open keyword and a close keyword, and the data segmentation step specifically includes the following steps:
a step of segment marking: carrying out segmentation marking on the audio data according to the opening keywords and the closing keywords;
recording and storing: storing and transmitting the audio data added with the mark to a server;
and recording deletion step: deleting the audio data to which the mark is not added.
5. A keyword-based sound recording preservation system is characterized by comprising:
the keyword definition module is used for defining keywords controlled by voice;
and the data processing module is used for carrying out voice recognition on the audio data in the recording equipment through a pre-constructed voice recognition model and carrying out data processing on the audio data according to the keywords.
6. The keyword-based sound recording preservation system according to claim 5, further comprising a speech recognition model generation module for generating the speech recognition model, wherein the speech recognition model generation module specifically comprises:
the model generating unit is used for collecting recording data with the keywords and generating the voice recognition model based on the recording data;
and the model transplanting unit is used for transplanting the voice recognition model into the recording equipment.
7. The keyword-based recording preservation system according to claim 6, wherein the data processing module specifically comprises:
the voice recognition unit is used for carrying out voice recognition processing on the audio data through an algorithm recognition module to obtain a recognition text;
the text analysis unit is used for analyzing the identification text and judging whether the keywords appear in the audio data or not;
and the data segmentation unit is used for segmenting the audio data according to the keywords appearing in the identification text.
8. The keyword-based sound recording preservation system according to claim 7, wherein the keywords include an open keyword and a close keyword, and the data slicing unit specifically includes:
the segmentation marking unit is used for carrying out segmentation marking on the audio data according to the opening keywords and the closing keywords;
the recording storage unit is used for storing the audio data added with the marks and transmitting the audio data to the server;
and the recording deleting unit deletes the audio data without the added marks.
9. An apparatus comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the keyword based sound recording saving method of any one of claims 1 to 4 when executing the computer program.
10. A storage medium on which a computer program is stored, the program, when executed by a processor, implementing the keyword based recording keeping method according to any one of claims 1 to 4.
CN202110539874.4A 2021-05-18 2021-05-18 Recording storage method, device and equipment based on keywords and storage medium Pending CN113299291A (en)

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CN104754100A (en) * 2013-12-25 2015-07-01 深圳桑菲消费通信有限公司 Call recording method and device and mobile terminal
CN105847520A (en) * 2016-05-19 2016-08-10 北京小米移动软件有限公司 Recording realization method and device in conversation process
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Application publication date: 20210824