Invention Grant
- Patent Title: Mixed adaptive and fixed coefficient neural networks for speech enhancement
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Application No.: US17243434Application Date: 2021-04-28
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Publication No.: US11705147B2Publication Date: 2023-07-18
- Inventor: Erik Visser , Vahid Montazeri , Shuhua Zhang , Lae-Hoon Kim
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: QUALCOMM Incorporated
- Main IPC: G10L21/0208
- IPC: G10L21/0208 ; G10L25/30 ; G06N3/08 ; G06N3/044 ; G06N3/045

Abstract:
Systems, methods and computer-readable media are provided for speech enhancement using a hybrid neural network. An example process can include receiving, by a first neural network portion of the hybrid neural network, audio data and reference data, the audio data including speech data, noise data, and echo data; filtering, by the first neural network portion, a portion of the audio data based on adapted coefficients of the first neural network portion, the portion of the audio data including the noise data and/or echo data; based on the filtering, generating, by the first neural network portion, filtered audio data including the speech data and an unfiltered portion of the noise data and/or echo data; and based on the filtered audio data and the reference data, extracting, by a second neural network portion of the hybrid neural network, the speech data from the filtered audio data.
Public/Granted literature
- US20210343306A1 MIXED ADAPTIVE AND FIXED COEFFICIENT NEURAL NETWORKS FOR SPEECH ENHANCEMENT Public/Granted day:2021-11-04
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