Robust speech recognition in reverberant environments using subband-based steady-state monaural and binaural suppression

Mapping Intimacies ◽

10.21437/interspeech.2014-153 ◽

2014 ◽

Author(s):

Hyung-Min Park ◽

Matthew Maciejewski ◽

Chanwoo Kim ◽

Richard M. Stern

Keyword(s):

Steady State ◽

Speech Recognition ◽

Robust Speech Recognition ◽

Reverberant Environments

Download Full-text

Methods for robust speech recognition in reverberant environments: a comparison

10.21437/interspeech.2010-228 ◽

2010 ◽

Author(s):

Rico Petrick ◽

Thomas Fehér ◽

Masashi Unoki ◽

Rüdiger Hoffmann

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Reverberant Environments

Download Full-text

Adaptive beamforming and soft missing data decoding for robust speech recognition in reverberant environments

10.21437/interspeech.2008-285 ◽

2008 ◽

Author(s):

Marco Kühne ◽

Roberto Togneri ◽

Sven Nordholm

Keyword(s):

Speech Recognition ◽

Missing Data ◽

Adaptive Beamforming ◽

Robust Speech Recognition ◽

Reverberant Environments

Download Full-text

Amplitude modulation spectrogram based features for robust speech recognition in noisy and reverberant environments

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2011.5947602 ◽

2011 ◽

Cited By ~ 18

Author(s):

Niko Moritz ◽

Jorn Anemuller ◽

Birger Kollmeier

Keyword(s):

Speech Recognition ◽

Amplitude Modulation ◽

Robust Speech Recognition ◽

Reverberant Environments

Download Full-text

Robust speech recognition in reverberant environments by using an optimal synthetic room impulse response model

Speech Communication ◽

10.1016/j.specom.2014.11.004 ◽

2015 ◽

Vol 67 ◽

pp. 65-77 ◽

Cited By ~ 7

Author(s):

Jindong Liu ◽

Guang-Zhong Yang

Keyword(s):

Speech Recognition ◽

Impulse Response ◽

Robust Speech Recognition ◽

Response Model ◽

Reverberant Environments

Download Full-text

A study on joint beamforming and spectral enhancement for robust speech recognition in reverberant environments

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2015.7178931 ◽

2015 ◽

Cited By ~ 2

Author(s):

Feifei Xiong ◽

Bernd T. Meyer ◽

Stefan Goetze

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Reverberant Environments ◽

Spectral Enhancement

Download Full-text

Fast HMM-driven beamforming for robust speech recognition in reverberant environments

2014 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2014.7009663 ◽

2014 ◽

Author(s):

Wei-Tyng Hong

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Reverberant Environments

Download Full-text

Robust Speech Recognition in Noisy and Reverberant Environments

Speech Recognition and Understanding ◽

10.1007/978-3-642-76626-8_10 ◽

1992 ◽

pp. 101-106 ◽

Cited By ~ 1

Author(s):

H. G. Hirsch

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Reverberant Environments

Download Full-text

Exploring Low-Dimensional Structures of Modulation Spectra for Robust Speech Recognition

10.21437/interspeech.2017-611 ◽

2017 ◽

Author(s):

Bi-Cheng Yan ◽

Chin-Hong Shih ◽

Shih-Hung Liu ◽

Berlin Chen

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Low Dimensional

Download Full-text

Toward Robust Speech Recognition and Understanding

The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology ◽

10.1007/s11265-005-4149-x ◽

2005 ◽

Vol 41 (3) ◽

pp. 245-254 ◽

Cited By ~ 2

Author(s):

Sadaoki Furui

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition

Download Full-text

Deep bidirectional neural networks for robust speech recognition under heavy background noise

Materials Today Proceedings ◽

10.1016/j.matpr.2021.02.640 ◽

2021 ◽

Author(s):

Jeevan Reddy Koya ◽

S.P. Venu Madhava Rao

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Background Noise ◽

Robust Speech Recognition

Download Full-text