公开(公告)号：US20250111857A1

公开(公告)日：2025-04-03

申请号：US18478759

申请日：2023-09-29

Applicant: Amazon Technologies, Inc.

Inventor： Ritwik Giri ,  Zhepei Wang ,  Devansh Shah ,  Jean-Marc Valin ,  Michael Mark Goodwin

IPC: G10L21/0208 ,  G10L25/30 ,  H04M3/56

Abstract: Examples herein provide an approach to enhance an audio mixture of a teleconference application by switching between noise suppression modes using a single model. Specifically, a machine learning (ML) model may be configured to, in response to receiving an audio mixture representation as input, suppress either a background noise of the audio mixture or suppress all noise of the audio mixture except a user's voice. In some examples, the ML model may be trained on speech and background noise training data during a training phase. In addition, the ML model may be trained on a user's voice during an enrollment phase. In addition, during an inference phase, the ML model may enhance the audio mixture by suppressing a portion of the audio mixture.