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20162025
most citedStatistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization

137 citations · 249 across the 12 of their papers we have counts for

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cs.SD2019★ 69 cited

Unsupervised Speech Enhancement Based on Multichannel NMF-Informed Beamforming for Noise-Robust Automatic Speech Recognition

Kazuki Shimada, Yoshiaki Bando, Masato Mimura +3

This paper describes multichannel speech enhancement for improving automatic speech recognition (ASR) in noisy environments. Recently, the minimum variance distortionless response…