1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
Universal Adaptor: Converting Mel-Spectrograms Between Different Configurations for Speech Synthesis
Fan-Lin Wang, Po-chun Hsu, Da-rong Liu +1
Most recent speech synthesis systems are composed of a synthesizer and a vocoder. However, the existing synthesizers and vocoders can only be matched to acoustic features extracted…
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…
Dual-Path Filter Network: Speaker-Aware Modeling for Speech Separation
Fan-Lin Wang, Yu-Huai Peng, Hung-Shin Lee +1
Speech separation has been extensively studied to deal with the cocktail party problem in recent years. All related approaches can be divided into two categories: time-frequency do…