Multi-Task Sub-Band Network For Deep Residual Echo Suppression

Jiayao Sun; Dawei Luo; Zhaoxia Li; Jindong Li; Yukai Ju; Yang Li

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arXiv · 2303.06404

Multi-Task Sub-Band Network For Deep Residual Echo Suppression

Jiayao Sun·Dawei Luo·Zhaoxia Li·Jindong Li·Yukai Ju·Yang Li

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Abstract

This paper introduces the SWANT team entry to the ICASSP 2023 AEC Challenge. We submit a system that cascades a linear filter with a neural post-filter. Particularly, we adopt sub-band processing to handle full-band signals and shape the network with multi-task learning, where dual signal voice activity detection (DSVAD) and echo estimation are adopted as auxiliary tasks. Moreover, we particularly improve the time frequency convolution module (TFCM) to increase the receptive field using small convolution kernels. Finally, our system has ranked 4th in ICASSP 2023 AEC Challenge Non-personalized track.

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BibTeX RIS

Jiayao Sun, Dawei Luo, Zhaoxia Li, Jindong Li, Yukai Ju, Yang Li. 2023-03-11. Multi-Task Sub-Band Network For Deep Residual Echo Suppression. https://arxiv.org/abs/2303.06404

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