An integrated study of speaker normalisation and HMM adaptation for noise robust speaker-independent speech recognition

Speech Communication ◽

10.1016/s0167-6393(01)00039-5 ◽

2002 ◽

Vol 37 (3-4) ◽

pp. 349-361 ◽

Author(s):

Ramalingam Hariharan ◽

Olli Viikki

Keyword(s):

Speech Recognition ◽

Speaker Independent ◽

Noise Robust ◽

Integrated Study

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Noise robust speaker-independent speech recognition with invariant-integration features using power-bias subtraction

10.21437/interspeech.2011-217 ◽

2011 ◽

Author(s):

Florian Müller ◽

Alfred Mertins

Keyword(s):

Speech Recognition ◽

Speaker Independent ◽

Noise Robust ◽

Invariant Integration

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Speaker-Independent Visual Speech Recognition with the Inception V3 Model

2021 IEEE Spoken Language Technology Workshop (SLT) ◽

10.1109/slt48900.2021.9383540 ◽

2021 ◽

Author(s):

Timothy Israel Santos ◽

Andrew Abel ◽

Nick Wilson ◽

Yan Xu

Keyword(s):

Speech Recognition ◽

Visual Speech ◽

Visual Speech Recognition ◽

Speaker Independent

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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 ◽

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Frame decorrelation for noise-robust speech recognition

Electronics Letters ◽

10.1049/el:19960808 ◽

1996 ◽

Vol 32 (13) ◽

pp. 1163 ◽

Author(s):

H.Y. Jung ◽

D.Y. Kim ◽

C.K. Un

Keyword(s):

Speech Recognition ◽

Robust Speech Recognition ◽

Noise Robust Speech Recognition ◽

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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

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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 ◽

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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 ◽

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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 ◽

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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 ◽

Noise Robust Speech Recognition ◽

Gaussian Basis Functions ◽

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In search for the relevant parameters for speaker independent speech recognition

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.1993.319403 ◽

1993 ◽

Author(s):

J. Smolders ◽

D. Van Compernolle

Keyword(s):

Speech Recognition ◽

Speaker Independent

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