ICASSP 2023accepted0 citations
The NPU-Elevoc Personalized Speech Enhancement System for Icassp2023 DNS Challenge
Xiaopeng Yan, Yindi Yang, Zhihao Guo, Liangliang Peng, Lei Xie
Abstract
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 results<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">12</sup>, our system is tied for the 1st place in the headset track (track 1) and ranked 2nd in the speakerphone track (track 2).
BibTeX
@inproceedings{icassp2023_thenpuelevocpers,
title = {The NPU-Elevoc Personalized Speech Enhancement System for Icassp2023 DNS Challenge},
author = {Xiaopeng Yan and Yindi Yang and Zhihao Guo and Liangliang Peng and Lei Xie},
booktitle = {ICASSP 2023},
year = {2023}
}