28 citations · 47 across the 12 of their papers we have counts for
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eess.AS2020★ 8 cited
Self-Supervised Learning from Contrastive Mixtures for Personalized Speech Enhancement
Aswin Sivaraman, Minje Kim
This work explores how self-supervised learning can be universally used to discover speaker-specific features towards enabling personalized speech enhancement models. We specifical…
eess.AS2020★ 1 cited
Sparse Mixture of Local Experts for Efficient Speech Enhancement
Aswin Sivaraman, Minje Kim
In this paper, we investigate a deep learning approach for speech denoising through an efficient ensemble of specialist neural networks. By splitting up the speech denoising task i…