18522743. VOICE QUALITY ENHANCEMENT METHOD AND RELATED DEVICE simplified abstract (Huawei Technologies Co., Ltd.)

VOICE QUALITY ENHANCEMENT METHOD AND RELATED DEVICE

Organization Name

Huawei Technologies Co., Ltd.

Inventor(s)

Shanyi Wei of Shenzhen (CN)

Chao Wu of Hangzhou (CN)

Yan Qiu of Hangzhou (CN)

Meng Liao of Hangzhou (CN)

Fan Fan of Shenzhen (CN)

Shiqiang Peng of Shenzhen (CN)

Bin Li of Shenzhen (CN)

Wenbin Zhao of Moscow (RU)

Jiang Li of Shenzhen (CN)

Haiting Li of Beijing (CN)

Xueyan Huang of Shenzhen (CN)

VOICE QUALITY ENHANCEMENT METHOD AND RELATED DEVICE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18522743 titled 'VOICE QUALITY ENHANCEMENT METHOD AND RELATED DEVICE

Simplified Explanation

The patent application describes a method and device for enhancing voice quality using artificial intelligence, specifically by reducing noise in a voice signal to improve the target user's voice.

• The method involves enabling a PNR mode, obtaining a noisy voice signal and target voice-related data, performing noise reduction on the noisy voice signal based on the target voice-related data using a trained voice noise reduction model, and obtaining a noise-reduced voice signal of the target user.

Potential Applications: - Telecommunications - Voice recognition systems - Audio recording and editing software

Problems Solved: - Improving voice quality in noisy environments - Enhancing voice clarity for better communication

Benefits: - Clearer voice communication - Better user experience in voice-related applications - Improved accuracy in voice recognition systems

Potential Commercial Applications: Enhancing Voice Quality in Telecommunications Using AI

Possible Prior Art: One possible prior art could be noise reduction algorithms used in audio processing software.

Questions: 1. How does the trained voice noise reduction model differentiate between the target user's voice and interfering noise signals? 2. What specific neural network architecture is used to implement the voice noise reduction model in this method?

Original Abstract Submitted

This application relates to the artificial intelligence (AI) field, and specifically, to a voice quality enhancement method and a related device. The method includes: after a PNR mode is enabled, obtaining a noisy voice signal and target voice-related data, where the noisy-carrying voice signal includes a voice signal of a target user and an interfering noise signal, and the target voice-related data indicates a voice feature of the target user; and performing noise reduction on the noisy voice signal based on the target voice-related data by using a trained voice noise reduction model to obtain a noise-reduced voice signal of the target user, where the voice noise reduction model is implemented based on a neural network. In embodiments of this application, voice of a target person can be enhanced, and interference can be suppressed.