4 papers
MixJudge: Learning a Language-Queryable Critic for Vocal Mixing
Kuan-Hsun Ho, Yuan-Chiao Cheng, Yen-Tung Yeh +1
Mixing requires not only applying processing but also assessing the resulting mix. Audio-language models can provide conversa- tional mixing advice, but existing evaluations do not…
ConSep: a Noise- and Reverberation-Robust Speech Separation Framework by Magnitude Conditioning
Kuan-Hsun Ho, Jeih-weih Hung, Berlin Chen
Speech separation has recently made significant progress thanks to the fine-grained vision used in time-domain methods. However, several studies have shown that adopting Short-Time…
What do neural networks listen to? Exploring the crucial bands in Speech Enhancement using Sinc-convolution
Kuan-Hsun Ho, Jeih-weih Hung, Berlin Chen
This study introduces a reformed Sinc-convolution (Sincconv) framework tailored for the encoder component of deep networks for speech enhancement (SE). The reformed Sincconv, based…
Naaloss: Rethinking the objective of speech enhancement
Kuan-Hsun Ho, En-Lun Yu, Jeih-weih Hung +1
Reducing noise interference is crucial for automatic speech recognition (ASR) in a real-world scenario. However, most single-channel speech enhancement (SE) generates "processing a…