CN111159461B - Audio file determining method and device, storage medium and electronic device - Google Patents
Audio file determining method and device, storage medium and electronic device Download PDFInfo
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Abstract
The application provides a method and a device for determining an audio file, wherein the method comprises the following steps: sorting all keywords in each keyword set in the N keyword sets to obtain N keyword sorting results corresponding to the N keyword sets, wherein the N keyword sets are in one-to-one correspondence with the N audio files, and N is a natural number; determining M keyword sequencing results with similarity exceeding a first preset threshold value in the N keyword sequencing results according to the N keyword sequencing results, wherein M is a natural number smaller than or equal to N; and determining M audio files corresponding to the M keyword sequencing results as M target audio files. By adopting the technical scheme, the problem of judging the behavior of recording cheating in the process of judging the service quality of staff by using recording equipment in the related technology is solved.
Description
Technical Field
The present application relates to the field of computers, and in particular, to a method and apparatus for determining an audio file, a storage medium, and an electronic apparatus.
Background
With the development of service industry, more and more customers pay more attention to the quality of service, the communication link between the customer store and the attendant can best embody the quality of service, the dialogue information between the attendant and the customer is recorded through the use of recording equipment, and then the dialogue information is analyzed through an artificial intelligence technology, so that the service quality of staff can be judged. However, for some employees there may be problems with recording cheating.
Aiming at the problem of judging the behavior of recording cheating in the process of judging the service quality of staff by using recording equipment in the related art, no effective technical scheme has been proposed yet.
Disclosure of Invention
The embodiment of the application provides a method and a device for determining an audio file, which at least solve the problem that in the related art, in the process of judging the service quality of staff by using recording equipment, recording cheating behaviors exist.
According to an embodiment of the present application, there is provided an audio file determining method including: sorting all keywords in each keyword set in N keyword sets to obtain N keyword sorting results corresponding to the N keyword sets, wherein the N keyword sets are in one-to-one correspondence with the N audio files, and N is a natural number; determining M keyword sequencing results with similarity exceeding a first preset threshold value in the N keyword sequencing results according to the N keyword sequencing results, wherein M is a natural number smaller than or equal to N; and determining M audio files corresponding to the M keyword ordering results as M target audio files.
In the embodiment of the present application, before ranking all keywords in each of the N keyword sets, the method further includes: acquiring the N audio files of N target devices, and performing voice recognition on the N acquired audio files to obtain N text information corresponding to the N audio files; extracting keywords in the N pieces of text information to obtain N keyword sets corresponding to the N pieces of text information, wherein the N keyword sets are in one-to-one correspondence with the N pieces of text information.
In the embodiment of the present application, the obtaining the N audio files of the N target devices includes: determining decibel values of audio generated by the N target devices in a target time period; and determining the N audio files of which the difference value of any two decibel values in the N target devices is within a second preset threshold according to the decibel values.
In the embodiment of the present application, the ranking all the keywords in each of the N keyword sets includes: and sorting according to the occurrence times of all keywords in each keyword set in the N keyword sets.
In the embodiment of the present application, after determining that M audio files corresponding to the M keyword ranking results are M target audio files, the method further includes: marking the M target audio files; and determining that M target devices corresponding to the M marked target audio files exist target recording behaviors.
According to another embodiment of the present application, there is also provided an audio file determining apparatus including: the device comprises a sorting unit, a processing unit and a processing unit, wherein the sorting unit is used for sorting all keywords in each keyword set in N keyword sets to obtain N keyword sorting results corresponding to the N keyword sets, the N keyword sets are in one-to-one correspondence with N audio files, and N is a natural number; a first determining unit, configured to determine, according to the N keyword ranking results, M keyword ranking results with a similarity exceeding a first preset threshold value from the N keyword ranking results, where M is a natural number less than or equal to N; and the second determining unit is used for determining M audio files corresponding to the M keyword ordering results as M target audio files.
In an embodiment of the present application, the apparatus further includes: the acquiring unit is used for acquiring the N audio files of the N target devices before ordering all keywords in each keyword set in the N keyword sets, and carrying out voice recognition on the acquired N audio files to obtain N text information corresponding to the N audio files; and the extraction unit is used for extracting keywords in the N pieces of text information to obtain N keyword sets corresponding to the N pieces of text information, wherein the N keyword sets are in one-to-one correspondence with the N pieces of text information.
In an embodiment of the present application, the acquiring unit includes: the first determining module is used for determining decibel values of the audio frequencies generated by the N target devices in the target time period; and the second determining module is used for determining the N audio files of which the difference value of any two decibel values in the N target devices is within a second preset threshold value according to the decibel values.
In the embodiment of the present application, the ranking unit is further configured to rank according to the number of times that all keywords in each of the N keyword sets appear in each of the keyword sets.
In an embodiment of the present application, the apparatus further includes: a marking unit, configured to mark the M target audio files after determining that the M audio files corresponding to the M keyword ranking results are M target audio files; and the third determining unit is used for determining that M target devices corresponding to the M marked target audio files exist target recording behaviors.
According to another embodiment of the present application, there is also provided a computer-readable storage medium including a stored program, wherein the program, when run, performs the audio file determining method of any one of the above.
According to another embodiment of the present application, there is also provided an electronic device, a storage medium including a stored program, wherein the program, when run, performs the audio file determining method of any of the above.
According to the application, all keywords in each keyword set in N keyword sets are sequenced to obtain N keyword sequencing results corresponding to the N keyword sets, wherein the N keyword sets are in one-to-one correspondence with N audio files, and N is a natural number; determining M keyword sequencing results with similarity exceeding a first preset threshold value in the N keyword sequencing results according to the N keyword sequencing results, wherein M is a natural number smaller than or equal to N; and determining M audio files corresponding to the M keyword ordering results as M target audio files. By adopting the technical scheme, the M audio files with the similarity exceeding the first preset threshold value in the N audio files can be determined by sequencing the keywords of the N audio files, so that the M audio files can be determined to have the recording cheating behavior, and the problem of how to judge the recording cheating behavior in the process of judging the staff service quality by using recording equipment in the related technology is solved.
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 specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a block diagram of a hardware configuration of an audio file determining method according to an embodiment of the present application;
FIG. 2 is a flow chart of an alternative audio file determination method according to an embodiment of the application;
FIG. 3 is a block diagram of an alternative audio file determining apparatus according to an embodiment of the present application;
fig. 4 is a block diagram of another alternative audio file determining apparatus according to an embodiment of the present application.
Detailed Description
The application will be described in detail hereinafter with reference to the drawings in conjunction with embodiments. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.
The method embodiment provided by the embodiment of the application can be applied to a mobile terminal, a computer terminal or similar computing devices for execution. Taking a terminal (such as a mobile phone) as an example, fig. 1 is a block diagram of a hardware structure of an audio file determining apparatus according to an embodiment of the present application. The terminal (e.g., handset) 10 may include one or more (only one is shown in fig. 1) processors 102 (the processors 102 may include, but are not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA) and a memory 104 for storing data, and optionally the mobile terminal may also include a transmission device 106 for communication functions and an input-output device 108. It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely illustrative and not limiting on the structure of the terminal described above. For example, the mobile terminal 10 may also include more or fewer components than shown in FIG. 1 or have a different configuration than equivalent functions shown in FIG. 1 or more functions than shown in FIG. 1.
The memory 104 may be used to store a computer program, for example, a software program of application software and a module, such as a computer program corresponding to the audio file determining method in the embodiment of the present application, and the processor 102 executes the computer program stored in the memory 104 to perform various functional applications and data processing, that is, implement the above-mentioned method. Memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the mobile terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission means 106 is arranged to receive or transmit data via a network. The specific examples of networks described above may include wireless networks provided by the communication provider of the mobile terminal 10. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet wirelessly.
In this embodiment, there is provided an audio file determining method operating on the above-mentioned audio file determining apparatus, and fig. 2 is a flowchart of an alternative audio file determining method according to an embodiment of the present application, as shown in fig. 2, the method includes the steps of:
step S202, ordering all keywords in each keyword set in N keyword sets to obtain N keyword ordering results corresponding to the N keyword sets, wherein the N keyword sets are in one-to-one correspondence with N audio files, and N is a natural number;
step S204, determining M keyword sequencing results with similarity exceeding a first preset threshold value in the N keyword sequencing results according to the N keyword sequencing results, wherein M is a natural number smaller than or equal to N;
step S206, determining M audio files corresponding to the M keyword sequencing results as M target audio files.
According to the application, all keywords in each keyword set in N keyword sets are sequenced to obtain N keyword sequencing results corresponding to the N keyword sets, wherein the N keyword sets are in one-to-one correspondence with N audio files, and N is a natural number; determining M keyword sequencing results with similarity exceeding a first preset threshold value in the N keyword sequencing results according to the N keyword sequencing results, wherein M is a natural number smaller than or equal to N; and determining M audio files corresponding to the M keyword ordering results as M target audio files. By adopting the technical scheme, the M audio files with the similarity exceeding the first preset threshold value in the N audio files can be determined by sequencing the keywords of the N audio files, so that the M audio files can be determined to have the recording cheating behavior, and the problem of how to judge the recording cheating behavior in the process of judging the staff service quality by using recording equipment in the related technology is solved.
In the embodiment of the present application, before ranking all keywords in each of the N keyword sets, the method further includes: acquiring the N audio files of N target devices, and performing voice recognition on the N acquired audio files to obtain N text information corresponding to the N audio files; extracting keywords in the N pieces of text information to obtain N keyword sets corresponding to the N pieces of text information, wherein the N keyword sets are in one-to-one correspondence with the N pieces of text information.
In the embodiment of the present application, the obtaining the N audio files of the N target devices includes: determining decibel values of audio generated by the N target devices in a target time period; and determining the N audio files of which the difference value of any two decibel values in the N target devices is within a second preset threshold according to the decibel values.
In the embodiment of the present application, the ranking all the keywords in each of the N keyword sets includes: and sorting according to the occurrence times of all keywords in each keyword set in the N keyword sets.
In the embodiment of the present application, after determining that M audio files corresponding to the M keyword ranking results are M target audio files, the method further includes: marking the M target audio files; and determining that M target devices corresponding to the M marked target audio files exist target recording behaviors.
The flow of the audio file determination method is described below in connection with an alternative example, the method comprising the steps of:
step 1, analyzing decibel sizes of different recorded audio files (corresponding to the N audio files) in the same time period.
And 2, performing voice recognition on the recorded audio files with similar decibels (the difference value is smaller than a second preset threshold value) to obtain respective corresponding text information.
And 3, extracting keywords from the text information corresponding to each audio file, wherein the keywords are preset words (can be service words such as your, welcome, thank you and the like).
And 4, ordering the keywords according to the occurrence times in the text information.
And 5, comparing the keyword ordering sequences of the different recording files, and if the ordering sequences of the keywords of the different recording files reach the preset overlap ratio (corresponding to the first preset threshold value), considering that the corresponding recording files overlap.
And 6, marking the recording file with higher superposition rate (60% or 80%) as a superposition file, thereby judging the corresponding equipment as the cheating equipment.
According to the embodiment, since each recording device is used by only one employee at the same time, after the recorded recording file is uploaded to the cloud storage, text information is obtained through a voice recognition technology (language information is converted into text information), and whether the cheating action that one employee wears a plurality of recording devices to record can be judged by analyzing the coincidence degree of the text information.
From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method of the various embodiments of the present application.
The embodiment also provides an audio file determining apparatus, which is used for implementing the foregoing embodiments and preferred embodiments, and will not be described in detail. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
Fig. 3 is a block diagram of an alternative audio file determining apparatus according to an embodiment of the present application, as shown in fig. 3, including:
a ranking unit 302, configured to rank all keywords in each of N keyword sets, to obtain N keyword ranking results corresponding to the N keyword sets, where the N keyword sets are in one-to-one correspondence with N audio files, and N is a natural number;
a first determining unit 304, configured to determine, according to the N keyword ranking results, M keyword ranking results with a similarity exceeding a first preset threshold value from the N keyword ranking results, where M is a natural number less than or equal to N;
the second determining unit 306 is configured to determine that M audio files corresponding to the M keyword ranking results are M target audio files.
According to the application, all keywords in each keyword set in N keyword sets are sequenced to obtain N keyword sequencing results corresponding to the N keyword sets, wherein the N keyword sets are in one-to-one correspondence with N audio files, and N is a natural number; determining M keyword sequencing results with similarity exceeding a first preset threshold value in the N keyword sequencing results according to the N keyword sequencing results, wherein M is a natural number smaller than or equal to N; and determining M audio files corresponding to the M keyword ordering results as M target audio files. By adopting the technical scheme, the M audio files with the similarity exceeding the first preset threshold value in the N audio files can be determined by sequencing the keywords of the N audio files, so that the M audio files can be determined to have the recording cheating behavior, and the problem of how to judge the recording cheating behavior in the process of judging the staff service quality by using recording equipment in the related technology is solved.
In an embodiment of the present application, as shown in fig. 4, the apparatus further includes:
an obtaining unit 308, configured to obtain the N audio files of N target devices before ordering all keywords in each of the N keyword sets, and perform speech recognition on the obtained N audio files to obtain N text information corresponding to the N audio files;
an extracting unit 310, configured to extract keywords in the N pieces of text information to obtain N keyword sets corresponding to the N pieces of text information, where the N keyword sets are in one-to-one correspondence with the N pieces of text information
In the embodiment of the present application, the acquiring unit 308 includes: the first determining module is used for determining decibel values of the audio frequencies generated by the N target devices in the target time period; and the second determining module is used for determining the N audio files of which the difference value of any two decibel values in the N target devices is within a second preset threshold value according to the decibel values.
In the embodiment of the present application, the ranking unit 302 is further configured to rank according to the number of times that all keywords in each of the N keyword sets appear in each of the keyword sets.
In an embodiment of the present application, as shown in fig. 4, the apparatus further includes:
a marking unit 312, configured to mark the M target audio files after determining that the M audio files corresponding to the M keyword ranking results are M target audio files;
a third determining unit 314, configured to determine that there are target recording behaviors of M target devices corresponding to the M target audio files that generate the marked target audio files.
Embodiments of the present application also provide a computer-readable storage medium including a stored program, wherein the program, when run, performs the method of any one of the above.
Alternatively, in the present embodiment, the above-described storage medium may be configured to store program code for performing the steps of:
s1, ordering all keywords in each keyword set in N keyword sets to obtain N keyword ordering results corresponding to the N keyword sets, wherein the N keyword sets are in one-to-one correspondence with N audio files, and N is a natural number;
s2, determining M keyword sequencing results with similarity exceeding a first preset threshold value in the N keyword sequencing results according to the N keyword sequencing results, wherein M is a natural number smaller than or equal to N;
s3, determining M audio files corresponding to the M keyword ordering results as M target audio files.
Alternatively, in the present embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
An embodiment of the application also provides an electronic device comprising a memory having stored therein a computer program and a processor arranged to run the computer program to perform the steps of any of the method embodiments described above.
Optionally, the electronic apparatus may further include a transmission device and an input/output device, where the transmission device is connected to the processor, and the input/output device is connected to the processor.
Alternatively, in the present embodiment, the above-described processor may be configured to execute the following steps by a computer program:
s1, ordering all keywords in each keyword set in N keyword sets to obtain N keyword ordering results corresponding to the N keyword sets, wherein the N keyword sets are in one-to-one correspondence with N audio files, and N is a natural number;
s2, determining M keyword sequencing results with similarity exceeding a first preset threshold value in the N keyword sequencing results according to the N keyword sequencing results, wherein M is a natural number smaller than or equal to N;
s3, determining M audio files corresponding to the M keyword ordering results as M target audio files.
Alternatively, specific examples in this embodiment may refer to examples described in the foregoing embodiments and optional implementations, and this embodiment is not described herein.
It will be appreciated by those skilled in the art that the modules or steps of the application described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may alternatively be implemented in program code executable by computing devices, so that they may be stored in a memory device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.
The above is only a preferred embodiment of the present application, and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the principle of the present application should be included in the protection scope of the present application.
Claims (9)
1. An audio file determining method, comprising:
sorting according to the occurrence times of all keywords in each keyword set in N keyword sets, and obtaining N keyword sorting results corresponding to the N keyword sets, wherein the N keyword sets are in one-to-one correspondence with N audio files, N is a natural number, and the keywords are preset keywords;
determining M keyword sequencing results with similarity exceeding a first preset threshold value in the N keyword sequencing results according to the N keyword sequencing results, wherein M is a natural number smaller than or equal to N;
and determining M audio files corresponding to the M keyword ordering results as M target audio files.
2. The method of claim 1, wherein before the ranking according to the number of times that all keywords in each of the N keyword sets occur in each of the keyword sets, the method further comprises:
acquiring N audio files of N target devices, and performing voice recognition on the N acquired audio files to obtain N text information corresponding to the N audio files;
extracting keywords in the N pieces of text information to obtain N keyword sets corresponding to the N pieces of text information, wherein the N keyword sets are in one-to-one correspondence with the N pieces of text information.
3. The method of claim 2, wherein the obtaining the N audio files for N target devices comprises:
determining decibel values of audio generated by the N target devices in a target time period;
and determining the N audio files of which the difference value of any two decibel values in the N target devices is within a second preset threshold according to the decibel values.
4. A method according to any one of claims 1 to 3, wherein after determining that M audio files corresponding to the M keyword ranking results are M target audio files, the method further comprises:
marking the M target audio files;
and determining that M target devices corresponding to the M marked target audio files exist target recording behaviors.
5. An audio file determining apparatus, comprising:
the device comprises a ranking unit, a ranking unit and a processing unit, wherein the ranking unit is used for ranking according to the occurrence times of all keywords in each keyword set in N keyword sets to obtain N keyword ranking results corresponding to the N keyword sets, wherein the N keyword sets are in one-to-one correspondence with N audio files, N is a natural number, and the keywords are preset keywords;
a first determining unit, configured to determine, according to the N keyword ranking results, M keyword ranking results with similarity exceeding a first preset threshold value from the N keyword ranking results, where M is a natural number less than or equal to N;
and the second determining unit is used for determining M audio files corresponding to the M keyword ordering results as M target audio files.
6. The apparatus of claim 5, wherein the apparatus further comprises:
the obtaining unit is used for obtaining the N audio files of N target devices before sorting according to the occurrence times of all keywords in each keyword set in the N keyword sets, and performing voice recognition on the obtained N audio files to obtain N text information corresponding to the N audio files;
the extraction unit is used for extracting keywords in the N pieces of text information to obtain N keyword sets corresponding to the N pieces of text information, wherein the N keyword sets are in one-to-one correspondence with the N pieces of text information.
7. The apparatus of claim 6, wherein the acquisition unit comprises:
the first determining module is used for determining decibel values of the audio frequencies generated by the N target devices in the target time period;
and the second determining module is used for determining the N audio files of which the difference value of any two decibel values in the N target devices is within a second preset threshold value according to the decibel values.
8. A computer-readable storage medium, characterized in that the storage medium has stored therein a computer program, wherein the computer program is arranged to execute the method of any of the claims 1 to 4 when run.
9. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to run the computer program to perform the method of any of the claims 1 to 4.
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