Police conversation speech recognition method and system based on big data

Abstract

The invention discloses a police conversation speech recognition method and system based on big data. The method comprises the steps of completing identity provisioning of a talker and a person to betalked and parameter setting of audio collecting equipment, completing control of the audio collecting equipment, and automatically generating a talking file catalogue; showing the recognition text contents of talking speech displayed in real time by a talking interface display window, and saving talking speech files and text files; analyzing the talking speech through big data, designing a mentalstate evaluation list, analyzing the mental state index of a talking target, and generating a big data analysis report; and enabling the talking speech files and the text files to be related to the inner part of a judicial system, and completing sharing of the talking speech files and the text files. According to the police conversation speech recognition method and system, the working strength of working police is alleviated, the working efficiency is improved, through the big data analysis method, the mental state of drug addicts under control to give up their habits is analyzed, and support can be provided for increment of the education level of the drug addicts under control to give up their habits.

Description

technical field [0001] The invention relates to the technical field of voice recognition for anti-drug personnel, in particular to a method and system for police conversation voice recognition based on big data. Background technique [0002] In the drug rehabilitation center, the police and the drug rehabilitation personnel have various types of conversations that are frequent, long, and cover a wide range of content. After the conversation is over, it is necessary to sort out the transcripts and type the conversation content into the computer. The work is extremely heavy. Under the current situation that the potential of human resources is close to the limit, actively give play to the leading advantages of the information construction of the drug rehabilitation management system, accelerate the construction of smart drug rehabilitation, and vigorously play the important role of information and intelligent construction in the drug rehabilitation work. [0003] During the con...

AI Technical Summary

Problems solved by technology

[0003] During the conversation of traditional anti-drug personnel, the policeman records the conversation process and the speech of the speaker in the form of transcripts. After the activity is completed, they use the computer to type into the official OA system of drug rehabilitation management, and use the keyboard to enter the contents of the transcript in the content of the corresponding subsystem, or use the Photos capture part of the scene information. On the one hand, this method is relatively inefficient in conversation, and the police’s transcripts are more laborious, requiring a lot of time and energy; on the other hand, it is more troublesome to organize documents. It takes a lot of time and energy to make records; third, it is impossible to objectively analyze the psychological status of drug addicts through conversations, and it is impossible to carry out targeted drug rehabilitation work

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