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

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

22 March 2019
Kazuki Shimada
Yoshiaki Bando
Masato Mimura
Katsutoshi Itoyama
Kazuyoshi Yoshii
Tatsuya Kawahara
ArXivPDFHTML

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

4 / 4 papers shown
Title
Leveraging Joint Spectral and Spatial Learning with MAMBA for Multichannel Speech Enhancement
Leveraging Joint Spectral and Spatial Learning with MAMBA for Multichannel Speech Enhancement
Wenze Ren
Haibin Wu
Yi-Cheng Lin
Xuanjun Chen
Rong-Yu Chao
Kuo-Hsuan Hung
You-Jin Li
Wen-Yuan Ting
Hsin-Min Wang
Yu Tsao
Mamba
67
0
0
16 Sep 2024
Can all variations within the unified mask-based beamformer framework achieve identical peak extraction performance?
Can all variations within the unified mask-based beamformer framework achieve identical peak extraction performance?
Atsuo Hiroe
Katsutoshi Itoyama
Kazuhiro Nakadai
63
0
0
22 Jul 2024
A variance modeling framework based on variational autoencoders for
  speech enhancement
A variance modeling framework based on variational autoencoders for speech enhancement
Simon Leglaive
Laurent Girin
Radu Horaud
DRL
41
91
0
05 Feb 2019
Rank-1 Constrained Multichannel Wiener Filter for Speech Recognition in
  Noisy Environments
Rank-1 Constrained Multichannel Wiener Filter for Speech Recognition in Noisy Environments
Ziteng Wang
Emmanuel Vincent
Romain Serizel
Yonghong Yan
45
42
0
01 Jul 2017
1