公开(公告)号：US20210217433A1

公开(公告)日：2021-07-15

申请号：US17215850

申请日：2021-03-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Zhenyi LIU ,  Wenbin ZHAO ,  Feng LI

IPC: G10L21/0272 ,  G10L21/0208 ,  G10L25/78 ,  G10L25/57 ,  G06K9/00 ,  G10L13/02

Abstract: A voice processing method is provided, including: when a terminal records a video, if a current video frame includes a face and a current audio frame includes a voice, determining a target face in the current video frame; obtaining a target distance between the target face and the terminal; determining a target gain based on the target distance, where a larger target distance indicates a larger target gain; separating a voice signal from a voice signal of the current audio frame; and performing enhancement processing on the voice signal based on the target gain, to obtain a target voice signal. This implements adaptive enhancement of a human voice signal during video recording.

公开(公告)号：US20240096343A1

公开(公告)日：2024-03-21

申请号：US18522743

申请日：2023-11-29

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Shanyi WEI ,  Chao WU ,  Yan QIU ,  Meng LIAO ,  Fan FAN ,  Shiqiang PENG ,  Bin LI ,  Wenbin ZHAO ,  Jiang LI ,  Haiting LI ,  Xueyan HUANG

IPC: G10L21/0232 ,  G10L21/0308

CPC classification number: G10L21/0232 ,  G10L21/0308

Abstract: 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.