2023/03/13 by Xiaopeng Yan, Yindi Yang, Yan, Xiaopeng +7 · 2 citations
Computer Science · #Speech and Audio Processing #Speech Recognition and Synthesis #Music and Audio Processing
paper · pdf · doi:10.48550/arxiv.2303.06811
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 results, our system is tied for the 1st place in the headset track (track 1) and ranked 2nd in the speakerphone track (track 2).