A Novel Approach to Very Fast and Noise Robust,Isolated Word Speech Recognition

18th International Conference on Pattern Recognition (ICPR'06) ◽

10.1109/icpr.2006.133 ◽

2006 ◽

Author(s):

R. Halavati ◽

S.B. Shouraki ◽

H. Tajik ◽

A. Cholakian ◽

M. Razaghpour

Keyword(s):

Speech Recognition ◽

Novel Approach ◽

Isolated Word ◽

Noise Robust

Download Full-text

Noise Robust Novel Approach to Speech Recognition

2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies ◽

10.1109/icesc.2014.55 ◽

2014 ◽

Author(s):

Swapnil D. Daphal ◽

Sonal K. Jagtap

Keyword(s):

Speech Recognition ◽

Novel Approach ◽

Noise Robust

Download Full-text

Development of HMM/Neural Network‐Based Medium‐Vocabulary Isolated‐Word Lithuanian Speech Recognition System

Informatica ◽

10.15388/informatica.2004.073 ◽

2004 ◽

Vol 15 (4) ◽

pp. 465-474 ◽

Cited By ~ 1

Author(s):

Mark Filipovič ◽

Antanas Lipeika

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Recognition System ◽

Speech Recognition System ◽

Isolated Word

Download Full-text

Research of a Non-Specific Person Noise-Robust Speech Recognition System

2009 5th International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2009.5301587 ◽

2009 ◽

Author(s):

Jing Bai ◽

Xueying Zhang

Keyword(s):

Speech Recognition ◽

Recognition System ◽

Robust Speech Recognition ◽

Speech Recognition System ◽

Noise Robust Speech Recognition ◽

Noise Robust

Download Full-text

Isolated Word Speech Recognition Using Convolutional Neural Network

2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE) ◽

10.1109/iccceee49695.2021.9429684 ◽

2021 ◽

Author(s):

Aljenan Soliman ◽

Salah Mohamed ◽

Iman Abuelmaaly Abdelrahman

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Convolutional Neural Network ◽

Isolated Word

Download Full-text

Frame decorrelation for noise-robust speech recognition

Electronics Letters ◽

10.1049/el:19960808 ◽

1996 ◽

Vol 32 (13) ◽

pp. 1163 ◽

Cited By ~ 2

Author(s):

H.Y. Jung ◽

D.Y. Kim ◽

C.K. Un

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

Noise Robust

Download Full-text

Adaptive training with noisy constrained maximum likelihood linear regression for noise robust speech recognition

10.21437/interspeech.2009-364 ◽

2009 ◽

Author(s):

D. K. Kim ◽

M. J. F. Gales

Keyword(s):

Speech Recognition ◽

Maximum Likelihood ◽

Linear Regression ◽

Robust Speech Recognition ◽

Adaptive Training ◽

Noise Robust Speech Recognition ◽

Noise Robust ◽

Constrained Maximum Likelihood ◽

Maximum Likelihood Linear Regression

Download Full-text

Mixtures of Bayesian joint factor analyzers for noise robust automatic speech recognition

10.21437/interspeech.2013-280 ◽

2013 ◽

Author(s):

Xiaodong Cui ◽

Vaibhava Goel ◽

Brian Kingsbury

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Joint Factor ◽

Noise Robust

Download Full-text

Issues with uncertainty decoding for noise robust speech recognition

10.21437/interspeech.2006-343 ◽

2006 ◽

Author(s):

H. Liao ◽

M. J. F. Gales

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

Noise Robust

Download Full-text

Comparative Evaluations of Various Factored Deep Convolutional Rnn Architectures for Noise Robust Speech Recognition

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2018.8462596 ◽

2018 ◽

Author(s):

Masakiyo Fujimoto ◽

Hisashi Kawai

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

Noise Robust

Download Full-text

Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.2002.5743740 ◽

2002 ◽

Author(s):

Chris Pal ◽

Brendan Frey ◽

Trausti Kristjansson

Keyword(s):

Speech Recognition ◽

Function Approximation ◽

Likelihood Function ◽

Basis Functions ◽

Robust Speech Recognition ◽

Non Linear ◽

Noise Robust Speech Recognition ◽

Gaussian Basis Functions ◽

Noise Robust

Download Full-text