Speech Enhancement Based on Teacher–Student Deep Learning Using Improved Speech Presence Probability for Noise-Robust Speech Recognition

Teacher Student ◽

Audio-visual deep learning for noise robust speech recognition

2013 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2013.6639140 ◽

2013 ◽

Cited By ~ 67

Author(s):

Jing Huang ◽

Brian Kingsbury

Keyword(s):

Deep Learning ◽

Speech Recognition ◽

Speech enhancement for noise‐robust speech recognition.

The Journal of the Acoustical Society of America ◽

10.1121/1.4783141 ◽

2008 ◽

Vol 124 (4) ◽

pp. 2577-2577

Author(s):

Vikramjit Mitra ◽

Carol Espy‐Wilson

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Combination of GMM-based speech estimation method and temporal domain SVD-based speech enhancement for noise robust speech recognition

Systems and Computers in Japan ◽

10.1002/scj.20487 ◽

2007 ◽

Vol 38 (3) ◽

pp. 23-38

Author(s):

Masakiyo Fujimoto ◽

Yasuo Ariki

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Estimation Method ◽

Temporal Domain ◽

A Review of Signal Subspace Speech Enhancement and Its Application to Noise Robust Speech Recognition

EURASIP Journal on Advances in Signal Processing ◽

10.1155/2007/45821 ◽

2006 ◽

Vol 2007 (1) ◽

Cited By ~ 62

Author(s):

Kris Hermus ◽

Patrick Wambacq ◽

Hugo Van hamme

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Signal Subspace ◽

Noise robust speech recognition system using multimodal audio-visual approach using different deep learning classification techniques

International Journal of Advanced Computer Research ◽

10.19101/ijacr.2019.940134 ◽

2020 ◽

Vol 10 (47) ◽

pp. 51-71

Author(s):

Eslam E. El Maghraby ◽

Amr M. Gody

Keyword(s):

Deep Learning ◽

Speech Recognition ◽

Recognition System ◽

Speech Recognition System ◽

Classification Techniques ◽

Visual Approach ◽

A noise-type and level-dependent MPO-based speech enhancement architecture with variable frame analysis for noise-robust speech recognition

10.21437/interspeech.2009-703 ◽

2009 ◽

Author(s):

Vikramjit Mitra ◽

Bengt J. Borgstrom ◽

Carol Y. Espy-Wilson ◽

Abeer Alwan

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Frame Analysis ◽

Noise Type ◽

An application specific matrix processor for signal subspace based speech enhancement in noise robust speech recognition applications

2007 7th International Conference on ASIC ◽

10.1109/icasic.2007.4415743 ◽

2007 ◽

Author(s):

Karthikeyan Natarajan ◽

S. Arun ◽

K. Murugaraj. ◽

Mala John

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Signal Subspace ◽

Noise Robust ◽

Application Specific

Noise-Robust Speech Recognition System based on Multimodal Audio-Visual Approach Using Different Deep Learning Classification Techniques

The Egyptian Journal of Language Engineering ◽

10.21608/ejle.2020.22022.1002 ◽

2020 ◽

Vol 7 (1) ◽

pp. 27-42

Author(s):

Eslam ElMaghraby ◽

Amr Gody ◽

Mohamed Farouk

Keyword(s):

Deep Learning ◽

Speech Recognition ◽

Recognition System ◽

Speech Recognition System ◽

Classification Techniques ◽

Visual Approach ◽

2009 ISECS International Colloquium on Computing, Communication, Control, and Management ◽

Noise robust speech recognition by combining speech enhancement in the wavelet domain and Lin-log RASTA

10.1109/cccm.2009.5267457 ◽

2009 ◽

Cited By ~ 2

Author(s):

Yang Jie ◽

Wang Zhenli

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Wavelet Domain ◽

Assessment of signal subspace based speech enhancement for noise robust speech recognition

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.2004.1326143 ◽

2004 ◽

Cited By ~ 2

Author(s):

K. Hermus ◽

P. Wambacq

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

Signal Subspace ◽