The NPU-Elevoc Personalized Speech Enhancement System for ICASSP2023 DNS Challenge
About
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).
Xiaopeng Yan, Yindi Yang, Zhihao Guo, Liangliang Peng, Lei Xie• 2023
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Target Speaker Extraction | ICASSP DNS-challenge Track 1 - Headset 2023 (test) | SIG Score3.81 | 5 | |
| Target Speaker Extraction | ICASSP DNS-challenge Track 2 - Speakerphone 2023 (test) | SIG Score3.92 | 5 |
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