1 citations · 2 across the 8 of their papers we have counts for
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Speech Enhancement Based on Cyclegan with Noise-informed Training
Wen-Yuan Ting, Syu-Siang Wang, Hsin-Li Chang +2
Cycle-consistent generative adversarial networks (CycleGAN) were successfully applied to speech enhancement (SE) tasks with unpaired noisy-clean training data. The CycleGAN SE syst…
Speech Enhancement-assisted Voice Conversion in Noisy Environments
Yun-Ju Chan, Chiang-Jen Peng, Syu-Siang Wang +3
Numerous voice conversion (VC) techniques have been proposed for the conversion of voices among different speakers. Although good quality of the converted speech can be observed wh…
Attention-based multi-task learning for speech-enhancement and speaker-identification in multi-speaker dialogue scenario
Chiang-Jen Peng, Yun-Ju Chan, Cheng Yu +3
Multi-task learning (MTL) and attention mechanism have been proven to effectively extract robust acoustic features for various speech-related tasks in noisy environments. In this s…