An AI data processing system for a voice recognition device

By employing a closed-loop mechanism involving multi-channel data acquisition, preprocessing, noise detection, joint adjustment, and feature optimization, the problem of poor applicability of existing speech recognition systems in complex noise environments is solved, achieving efficient and accurate speech recognition results.

CN122290573APending Publication Date: 2026-06-26DONGYING DONGWANG INTERNET INFORMATION TECH CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
DONGYING DONGWANG INTERNET INFORMATION TECH CO LTD
Filing Date
2026-03-19
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing speech recognition systems cannot flexibly adapt to constantly changing noise environments and lack accurate extraction and flexible adjustment of real-time noise features, resulting in poor applicability in complex scenarios. In particular, speech recognition accuracy and processing efficiency are difficult to balance in high-noise environments.

Method used

The system employs a multi-channel data acquisition unit to simultaneously acquire speech and noise data. The preprocessing unit performs standardization processing, the noise detection unit extracts key features in real time, the joint adjustment unit integrates an adaptive noise model and an intelligent adjustment algorithm, the feature optimization unit performs noise suppression and feature enhancement, the recognition output unit uses a deep learning model for speech recognition, and the entire process is optimized through a closed-loop adjustment mechanism.

Benefits of technology

The system significantly improves the accuracy and efficiency of speech recognition in complex noise environments. It can adapt to different noise environments in real time, enhances the clarity and recognition accuracy of speech signals, and improves the stability and reliability of the system.

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Abstract

This invention discloses an AI data processing system for speech recognition devices. The system includes a data acquisition unit, a preprocessing unit, a noise detection unit, a joint adjustment unit, a feature optimization unit, and a recognition output unit. Each unit establishes a closed-loop collaborative processing link through data interaction. The data acquisition unit is used to simultaneously acquire the original speech data of the object to be recognized and the environmental noise data of the corresponding scene. The preprocessing unit is used to perform unified and standardized preprocessing operations on the two types of data. This invention relates to the fields of speech recognition and artificial intelligence technology. This AI data processing system for speech recognition devices, through a dynamic noise model and intelligent adjustment algorithm, can adapt to different noise environments in real time, generating accurate dynamic adaptation parameters, thereby effectively suppressing noise and enhancing the clarity of the speech signal. This significantly improves the accuracy of speech recognition in complex noise environments.
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