The NPU-Elevoc Personalized Speech Enhancement System for Icassp2023 DNS Challenge

Xiaopeng Yan, Yindi Yang, Zhihao Guo, Liangliang Peng, Lei Xie

科研成果: 期刊稿件会议文章同行评审

5 引用 (Scopus)

摘要

This paper describes our NPU-Elevoc personalized speech enhancement system (NAPSE) for the 5th Deep Noise Suppression Challenge[1] at ICASSP 2023. Based on the superior two-stage model TEA-PSE 2.0 [2], our system particularly explores better strategy for speaker embedding fusion, optimizes the model training pipeline, and leverages adversarial training and multi-scale loss. According to the results12, our system is tied for the 1st place in the headset track (track 1) and ranked 2nd in the speakerphone track (track 2).

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