1 citations · 1 across the 5 of their papers we have counts for
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CasNet: Investigating Channel Robustness for Speech Separation
Fan-Lin Wang, Yao-Fei Cheng, Hung-Shin Lee +2
Recording channel mismatch between training and testing conditions has been shown to be a serious problem for speech separation. This situation greatly reduces the separation perfo…
Improving generalizability of distilled self-supervised speech processing models under distorted settings
Kuan-Po Huang, Yu-Kuan Fu, Tsu-Yuan Hsu +5
Self-supervised learned (SSL) speech pre-trained models perform well across various speech processing tasks. Distilled versions of SSL models have been developed to match the needs…
Disentangling the Impacts of Language and Channel Variability on Speech Separation Networks
Fan-Lin Wang, Hung-Shin Lee, Yu Tsao +1
Because the performance of speech separation is excellent for speech in which two speakers completely overlap, research attention has been shifted to dealing with more realistic sc…