Nonlinear Residual Echo Suppression Based on Gated Dual Signal Transformation LSTM Network

Kai Xie, Ziye Yang, Jie Chen

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Although adaptive filters play a vital role in the acoustic echo cancellation system, multiple factors prevent them from completely eliminating the echo signal. Consequently, additional suppression module is required and crucial for enhancing the echo cancellation performance. In this work, we propose a gated dual signal transformation LSTM network (Gated DTLN) that improves upon the recently developed Dual Signal Trans-formation LSTM Network for AEC (DTLN-aec). The gated convolution units are inserted to enhance filtering features in the time domain part of the model, while the echo reference signal is removed from the input of this part to reduce the complexity of the mask generator. The experimental results on different signal-to-echo ratio (SER) datasets demonstrate the superiority of our proposed method.

源语言英语
主期刊名Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
出版商Institute of Electrical and Electronics Engineers Inc.
1696-1701
页数6
ISBN(电子版)9786165904773
DOI
出版状态已出版 - 2022
活动2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022 - Chiang Mai, 泰国
期限: 7 11月 202210 11月 2022

出版系列

姓名Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022

会议

会议2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
国家/地区泰国
Chiang Mai
时期7/11/2210/11/22

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