Human voice recognition and enhancement method and device for voice device and storage medium

By using NLMS and IIR algorithms to perform echo cancellation and voice enhancement on emergency rescue communication equipment, the problems of large number of devices, complex environment and poor sound quality are solved. Effective echo cancellation and sound enhancement are achieved in a low-power system, meeting the amplification needs of emergency rescue.

CN114822574BActive Publication Date: 2026-06-12NANJING YAOZE ELECTRONICS TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NANJING YAOZE ELECTRONICS TECH
Filing Date
2022-04-28
Publication Date
2026-06-12

AI Technical Summary

⚠Technical Problem

In emergency rescue operations, there are numerous existing communication devices, and the operating environment is complex. The call quality and noise reduction effects are poor, and the low-power systems lack sufficient computing power and effective methods for amplifying and enhancing the sound of walkie-talkies.

⚗Method used

The NLMS algorithm is used for echo cancellation and spectrum analysis, combined with IIR filters for human voice feature extraction and enhancement. The acquired sound signal is echo-cancelled and enhanced using the NLMS and IIR algorithms, and spectrum analysis and signal processing are performed using the speech activity statistics function.

🎯Benefits of technology

It achieves effective echo cancellation and sound enhancement in low-power systems, improving call quality and reliability, and supports amplification and sound enhancement of walkie-talkies inside masks, meeting the needs of emergency rescue.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiment of the application discloses a human voice recognition and enhancement method and device for a voice device and a storage medium, relates to the field of communication technology, and can be applied to a scene in which sound of a intercom in a mask needs to be amplified and sound enhanced in emergency rescue. The application comprises the following steps: performing echo cancellation on collected sound signals by an NLMS algorithm, wherein the collected sound signals comprise environmental noise and voice signals; performing spectrum analysis on the sound processed in step 1, and extracting sound signals conforming to human voice characteristics; performing enhancement processing on the sound signals conforming to human voice characteristics by an IIR; and sending the sound signals processed by the enhancement processing to a intercom module.
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