Dialogue content analysis method based on regularization and text truncation
A technology of content analysis and text, applied in speech analysis, instruments, electrical digital data processing, etc., can solve the problems of dialogue content analysis error, high cost, dialogue analysis speed and accuracy need to be improved, and achieve dialogue analysis speed and accuracy The effect of improving the degree of improvement, avoiding duplication of work, and improving the efficiency of dialogue
Pending Publication Date: 2021-07-02
浙江百应科技有限公司
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Problems solved by technology
[0002] At present, for voice quality inspection and call audio analysis, most of the dialogue content is analyzed through repeated listening by manpower. The cost of manpower consumption is high, and for quality inspectors, repetitive labor does not realize personal value well. It is also easy to cause physical and mental fatigue
[0003] Purely manual analysis of dialogue content may be subjective and prone to misjudgment, etc., which may cause errors in dialogue content analysis
[0004] Artificial dialogue content analysis cannot provide a faster feedback system to intervene in the dialogue and interfere with the dialogue
[0005] In summary, the existing solutions still need to be improved in terms of interactive experience of dialogue content analysis, dialogue analysis speed and accuracy
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[0021] Such as figure 1 As shown, the present invention discloses a dialogue content analysis method based on regularization and text truncation, and the adopted technical solution is a dialogue content analysis method based on regularization and text truncation, which is characterized in that: it can be put into the work as a plug-in form The mobile phone analyzes the conversation content through voice quality inspection, including the following steps:
[0022] Step 1, creating a dialog analysis rule written by regular rules and including multiple regular rules through an interface or an interface, where the interface is an interactive interface or a front-end interface for displaying dialog;
[0023] Step 2, converting the input dialogue audio file or audio stream into dialogue text content, the dialogue audio file or audio stream is converted into dialogue text content through asr, after the audio stream or audio file of the dialogue is format converted, synchronously or A...
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The invention discloses a dialogue content analysis method based on regularization and text truncation, which can bring the following advantages: the dialogue content analysis method is put into a working mobile phone to work in a plug-in form, so that multi-machine interchange and universality can be realized; through manual dialogue, dialogue content analysis is carried out mostly through manual repeated listening for voice quality inspection and call audio analysis, so that the labor cost can be reduced, and unnecessary repeated work is avoided; through man-machine conversation, the problems of misjudgment and the like caused by pure manual conversation are avoided, and errors possibly caused by conversation content analysis are reduced; through man-machine conversation, the conversation efficiency is improved, and the problem that manual conversation content analysis cannot be fed back to the system quickly and intervenes in the conversation is solved, and interference on the conversation is avoided; and interaction experience of dialogue content analysis, dialogue analysis speed and accuracy are greatly improved.
Description
technical field [0001] The invention belongs to the field of software and relates to a dialogue content analysis method based on regularization and text truncation. Background technique [0002] At present, for voice quality inspection and call audio analysis, most of the dialogue content is analyzed through repeated listening by manpower. The cost of manpower consumption is high, and for quality inspectors, repetitive labor does not realize personal value well. It is also easy to cause physical and mental fatigue. [0003] Purely manual dialogue content analysis may be subjective and prone to misjudgment, which may cause errors in dialogue content analysis. [0004] Artificial dialogue content analysis cannot provide a faster feedback system to intervene in the dialogue and interfere with the dialogue. [0005] In summary, the existing solutions still need to be improved in terms of interactive experience of dialogue content analysis, dialogue analysis speed and accuracy....
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IPC IPC(8): G06F40/205G06F40/35G10L15/26
CPCG06F40/205G06F40/35
Inventor 董金杰
Owner 浙江百应科技有限公司
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