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20172023
most citedStatistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization

137 citations · 217 across the 11 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.CL2019

Improving OOV Detection and Resolution with External Language Models in Acoustic-to-Word ASR

Hirofumi Inaguma, Masato Mimura, Shinsuke Sakai +1

Acoustic-to-word (A2W) end-to-end automatic speech recognition (ASR) systems have attracted attention because of an extremely simplified architecture and fast decoding. To alleviat…

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…