Invention Grant
- Patent Title: System and method for acoustic echo cancelation using deep multitask recurrent neural networks
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Application No.: US17827424Application Date: 2022-05-27
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Publication No.: US12073847B2Publication Date: 2024-08-27
- Inventor: Amin Fazeli , Mostafa El-Khamy , Jungwon Lee
- Applicant: Samsung Electronics Co., Ltd.
- Applicant Address: KR Suwon-si
- Assignee: Samsung Electronics Co., Ltd.
- Current Assignee: Samsung Electronics Co., Ltd.
- Current Assignee Address: KR Yongin-si
- Agency: Lewis Roca Rothgerber Christie LLP
- Main IPC: G10L21/0232
- IPC: G10L21/0232 ; G06N3/08 ; G06N20/10 ; G10L21/0208 ; H04R3/04

Abstract:
A system for performing echo cancellation includes: a processor configured to: receive a far-end signal; record a microphone signal including: a near-end signal; and an echo signal corresponding to the far-end signal; extract far-end features from the far-end signal; extract microphone features from the microphone signal; compute estimated near-end features by supplying the microphone features and the far-end features to an acoustic echo cancellation module including a recurrent neural network including: an encoder including a plurality of gated recurrent units; and a decoder including a plurality of gated recurrent units; compute an estimated near-end signal from the estimated near-end features; and transmit the estimated near-end signal to the far-end device. The recurrent neural network may include a contextual attention module; and the recurrent neural network may take, as input, a plurality of error features computed based on the far-end features, the microphone features, and acoustic path parameters.
Public/Granted literature
- US12033652B2 System and method for acoustic echo cancelation using deep multitask recurrent neural networks Public/Granted day:2024-07-09
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