mlsanityData to 7 Oct 2026

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

arXiv 2303.07704 ↗First posted 14 Mar 2023eess.AS cs.SDcited by 8

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Abstract (arXiv)

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.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Mar 2023.

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Citing papers per year: 2023: 1; 2024: 1; 2025: 4; 2026: 2.

8 papers.