19 citations · 59 across the 14 of their papers we have counts for
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cs.SD2022★ 11 cited
Discretization and Re-synthesis: an alternative method to solve the Cocktail Party Problem
Jing Shi, Xuankai Chang, Tomoki Hayashi +3
Deep learning based models have significantly improved the performance of speech separation with input mixtures like the cocktail party. Prominent methods (e.g., frequency-domain a…
cs.SD2020★ 3 cited
Improving Speech Enhancement Performance by Leveraging Contextual Broad Phonetic Class Information
Yen-Ju Lu, Chia-Yu Chang, Cheng Yu +4
Previous studies have confirmed that by augmenting acoustic features with the place/manner of articulatory features, the speech enhancement (SE) process can be guided to consider t…