The NPU-Elevoc Personalized Speech Enhancement System for ICASSP2023 DNS Challenge
Xiaopeng Yan (Northwestern Polytechnical University); Yindi Yang (Elevoc); Zhihao Guo (Elevoc); Liangliang Peng (Elevoc); Lei Xie (NWPU)
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This paper describes our NPU-Elevoc personalized speech enhancement system (NAPSE) for the 5th Deep Noise Suppression Challenge at ICASSP 2023. Based on the superior two-stage model TEA-PSE 2.0, 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 official results, our system ranks 1st (tied) in the headset track (track 1) and 2nd in the speakerphone track (track 2).