Yudong He — accepted AI-conference papers

2025

A Novel Weighted Sparse Component Analysis for Underdetermined Blind Speech Separation

Yudong He, Baeck Hyun Woo, Richard Hau Yue So

ICASSP 2025accepted

Sparse component analysis (SCA) is a popular underdetermined blind speech separation (UBSS) method. It models all sources to have an identical distribution. As speeches do not have identical distribution, SCA performs suboptimal. Some studies have improved the performance of SCA by weighting the sou…

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2022

Harvesting Partially-Disjoint Time-Frequency Information for Improving Degenerate Unmixing Estimation Technique

Yudong He, He Wang, Qifeng Chen, Richard Hau Yue So

ICASSP 2022accepted

The degenerate unmixing estimation technique (DUET) is one of the most efficient blind source separation algorithms tackling the challenging situation when the number of sources exceeds the number of microphones. However, as a time-frequency mask-based method, DUET erroneously results in interferenc…

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