3 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.SD2020★ 2 cited
SADDEL: Joint Speech Separation and Denoising Model based on Multitask Learning
Yuan-Kuei Wu, Chao-I Tuan, Hung-yi Lee +1
Speech data collected in real-world scenarios often encounters two issues. First, multiple sources may exist simultaneously, and the number of sources may vary with time. Second, t…
cs.SD2019★ 2 cited
MITAS: A Compressed Time-Domain Audio Separation Network with Parameter Sharing
Chao-I Tuan, Yuan-Kuei Wu, Hung-yi Lee +1
Deep learning methods have brought substantial advancements in speech separation (SS). Nevertheless, it remains challenging to deploy deep-learning-based models on edge devices. Th…
cs.SD2019★ 3 cited
Improved Speech Separation with Time-and-Frequency Cross-domain Joint Embedding and Clustering
Gene-Ping Yang, Chao-I Tuan, Hung-Yi Lee +1
Speech separation has been very successful with deep learning techniques. Substantial effort has been reported based on approaches over spectrogram, which is well known as the stan…