期刊
INTERSPEECH 2021
卷 -, 期 -, 页码 4753-4757出版社
ISCA-INT SPEECH COMMUNICATION ASSOC
DOI: 10.21437/Interspeech.2021-85
关键词
Acoustic Echo Cancellation; Neural Networks; Residual Echo Cancellation
The paper introduces the CDEC system for the Interspeech 2021 AEC-Challenge, which includes TDC module, frequency-domain AEC, and time-domain neural network, achieving an overall MOS score of 3.80.
This paper proposes the Cross-Domain Echo-Controller (CDEC), submitted to the Interspeech 2021 AEC-Challenge. The algorithm consists of three building blocks: (i) a Time-Delay Compensation (TDC) module, (ii) a frequency-domain block-based Acoustic Echo Canceler (AEC), and (iii) a Time-Domain Neural-Network (TD-NN) used as a post-processor. Our system achieves an overall MOS score of 3.80, while only using 2.1 million parameters at a system latency of 32ms.
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