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arXiv · 2303.07704

TEA-PSE 3.0: Tencent-Ethereal-Audio-Lab Personalized Speech Enhancement System For ICASSP 2023 DNS Challenge

Yukai Ju·Jun Chen·Shimin Zhang·Shulin He·Wei Rao·Weixin Zhu·Yannan Wang·Tao Yu·Shidong Shang
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Abstract

This paper introduces the Unbeatable Team's submission to the ICASSP 2023 Deep Noise Suppression (DNS) Challenge. We expand our previous work, TEA-PSE, to its upgraded version -- TEA-PSE 3.0. Specifically, TEA-PSE 3.0 incorporates a residual LSTM after squeezed temporal convolution network (S-TCN) to enhance sequence modeling capabilities. Additionally, the local-global representation (LGR) structure is introduced to boost speaker information extraction, and multi-STFT resolution loss is used to effectively capture the time-frequency characteristics of the speech signals. Moreover, retraining methods are employed based on the freeze training strategy to fine-tune the system. According to the official results, TEA-PSE 3.0 ranks 1st in both ICASSP 2023 DNS-Challenge track 1 and track 2.

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Yukai Ju, Jun Chen, Shimin Zhang, Shulin He, Wei Rao, Weixin Zhu, Yannan Wang, Tao Yu, Shidong Shang. 2023-03-14. TEA-PSE 3.0: Tencent-Ethereal-Audio-Lab Personalized Speech Enhancement System For ICASSP 2023 DNS Challenge. https://arxiv.org/abs/2303.07704

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