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Distil-DCCRN: A Small-footprint DCCRN Leveraging Feature-based Knowledge Distillation in Speech Enhancement
Runduo Han, Weiming Xu, Zihan Zhang +2
The deep complex convolution recurrent network (DCCRN) achieves excellent speech enhancement performance by utilizing the audio spectrum's complex features. However, it has a large…
An audio-quality-based multi-strategy approach for target speaker extraction in the MISP 2023 Challenge
Runduo Han, Xiaopeng Yan, Weiming Xu +6
This paper describes our audio-quality-based multi-strategy approach for the audio-visual target speaker extraction (AVTSE) task in the Multi-modal Information based Speech Process…
MBTFNet: Multi-Band Temporal-Frequency Neural Network For Singing Voice Enhancement
Weiming Xu, Zhouxuan Chen, Zhili Tan +5
A typical neural speech enhancement (SE) approach mainly handles speech and noise mixtures, which is not optimal for singing voice enhancement scenarios. Music source separation (M…
TaylorAECNet: A Taylor Style Neural Network for Full-Band Echo Cancellation
Weiming Xu, Zhihao Guo
This paper describes aecX team's entry to the ICASSP 2023 acoustic echo cancellation (AEC) challenge. Our system consists of an adaptive filter and a proposed full-band Taylor-styl…