The NPU-Elevoc Personalized Speech Enhancement System for ICASSP2023 DNS Challenge

Autor: Yan, Xiaopeng, Yang, Yindi, Guo, Zhihao, Peng, Liangliang, Xie, Lei
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: 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).
Databáze: arXiv