Sound wave detection and early warning method

Abstract

The invention provides a sound wave detection and early warning method. According to the sound wave detection and early warning method, sound signals from a conversation party can be obtained and recorded in real time in the conversation process; corresponding sound wave frequency data and / or sound wave decibel data are extracted from the sound signal, and corresponding analysis and calculation processing are carried out on the sound wave frequency data and / or the sound wave decibel data to obtain a corresponding analysis result; when the emotion of the conversation party in the conversation process or the satisfaction degree of the conversation party on the conversation quality is changed, correspondingly, the sound wave frequency and the sound wave decibel of the dialogue party can be changed accordingly, so that the call quality of the current call process can be obtained by obtaining the analysis result of the sound wave frequency data and / or the sound wave decibel data in real time.

Description

technical field [0001] The invention relates to the technical field of sound detection and recognition, in particular to a sound wave detection and early warning method. Background technique [0002] With the development of e-commerce and online service industries, a considerable number of service industries have opened corresponding online service platforms, and users can perform adaptive operations through corresponding online service platforms to obtain peer-to-peer services . Since such online service companies usually have a large scale, in order to ensure service quality, these online services usually also set up telephone consultation and complaint hotlines, and users can make manual calls by dialing the corresponding telephone consultation and complaint hotlines. In order to reflect relevant questions and obtain corresponding answers. In order to ensure the service quality of manual calls, generally speaking, enterprises need to record each user's manual call proce...

AI Technical Summary

Problems solved by technology

However, in the existing monitoring of the manual call process, it is necessary to completely record all the call records of the manual call, and then manually analyze the corresponding recording data one by one to obtain the corresponding analysis results. It can be seen that the existing monitoring for manual calls The monitoring operation of the call process has a certain time lag and requires a lot of manpower and material resources to complete

[0003] Although the existing online service telephone hotline can record the entire manual call process, the analysis of the quality of the manual call process and user demands is only carried out after the manual pass is over, and the follow-up analysis of the manual call recording data Analytical operations also require additional manpower and material resources to achieve

It can be seen that this analysis method for manual call recording data requires different staff to analyze the recording data. In the process of analyzing data, the recording data will inevitably be leaked and expanded, and may be involved in the manual call process. The user's personal privacy information, that is, this kind of analysis operation on the recording data is likely to damage the user's recording privacy

In addition, this kind of analysis operation on recording data cannot obtain corresponding analysis results in real time during the manual call process, and a large amount of manpower must be equipped for subsequent analysis operations, which cannot realize timely improvement and real-time improvement of the quality of manual call service. It can not effectively and timely improve the quality of manual call service

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