A recording automatic generation method based on AI voice interaction

By using an AI-based voice interaction method and employing temporal segmentation and deep neural network technology, formatted and information-rich transcripts are generated. This solves the problems of incomplete voice type recognition and emotional information capture in existing technologies, thereby improving the quality and application value of interrogation transcripts.

CN120375809BActive Publication Date: 2025-12-09GUANGDONG POLICE COLLEGE (GUANGDONG PROVINCIAL PUBLIC SECURITY JUDICIAL MANAGEMENT CADRE COLLEGE)
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Patent Information

Application Number
CN202510602675.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-05-12
Publication Date
2025-12-09
Estimated Expiration
2045-05-12

AI Technical Summary

Technical Problem

Existing technologies for generating interrogation transcripts suffer from insufficient accuracy in voice type recognition and incomplete capture of emotional information, resulting in non-standard transcript formats and insufficient information, which affects their practical application value.

Method used

An AI-based voice interaction method is adopted, which uses time-domain segmentation technology to obtain speech segments, extracts pitch, speech rate and volume features, uses deep neural networks to generate a set of speech units with emotion labels, and selects the corresponding template according to the speech type to generate formatted transcripts.

Benefits of technology

It has achieved automated processing from raw audio to formatted transcripts, generating standardized and information-rich transcripts, thus improving interrogation efficiency and the credibility of evidence.

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Abstract

The application discloses a kind of based on AI voice interaction's record automatic generation method, belong to voice analysis technical field, comprising: obtaining original voice data, continuous audio stream is recorded from target environment by preset audio acquisition module, generates the voice segment set of preliminary division using time domain segmentation technique;For the voice segment set, extract pitch feature, speech rate variation and volume feature, generate voice feature set;The voice feature set is input into deep neural network model, determine emotional label by multidimensional feature mapping, generate voice unit set with emotional label;If the voice type of voice unit set is statement type, then use narrative template to generate text;If the voice type of voice unit set is inquiry type, then use inquiry template to generate text;Get formatted record.The based on AI voice interaction's record automatic generation method solves the problem that existing record generation mode is difficult to generate format standard and information-rich record.
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