Context dependent vector quantization for continuous speech recognition

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.1993.319390 ◽

1993 ◽

Author(s):

L.R. Bahl ◽

P.V. de Souza ◽

P.S. Gopalakrishnan ◽

M.A. Picheny

Keyword(s):

Speech Recognition ◽

Vector Quantization ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Dependent Vector ◽

Context Dependent

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Modeling context-dependent phonetic units in a continuous speech recognition system for Mandarin Chinese

Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96 ◽

10.1109/icslp.1996.607262 ◽

2002 ◽

Author(s):

Jim Jian-Xiong Wu ◽

Li Deng ◽

J. Chan

Keyword(s):

Speech Recognition ◽

Mandarin Chinese ◽

Recognition System ◽

Speech Recognition System ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Context Dependent

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Effect of vector quantization on a continuous speech recognition system

10.1109/icassp.1984.1172586 ◽

2005 ◽

Author(s):

B. Landell ◽

J. Naylor ◽

R. Wohlford

Keyword(s):

Speech Recognition ◽

Vector Quantization ◽

Recognition System ◽

Speech Recognition System ◽

Continuous Speech ◽

Continuous Speech Recognition

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CDNN: a context dependent neural network for continuous speech recognition

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1992.226048 ◽

1992 ◽

Author(s):

H. Bourlard ◽

N. Morgan ◽

C. Wooters ◽

S. Renals

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Context Dependent

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Large vocabulary continuous speech recognition with context-dependent DBN-HMMS

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

10.1109/icassp.2011.5947401 ◽

2011 ◽

Author(s):

George E. Dahl ◽

Dong Yu ◽

Li Deng ◽

Alex Acero

Keyword(s):

Speech Recognition ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Large Vocabulary ◽

Context Dependent

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Context-dependent Syllable Modeling of Sentence-based Semi-continuous Speech Recognition for the Tamil Language

Information Technology Journal ◽

10.3923/itj.2017.125.133 ◽

2017 ◽

Vol 16 (3) ◽

pp. 125-133

Author(s):

Ibralebbe Mohamed Kalith ◽

David Asirvatham ◽

Ismail Raisal

Keyword(s):

Speech Recognition ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Context Dependent

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Discriminant analysis and supervised vector quantization for continuous speech recognition

10.1109/icassp.1990.115850 ◽

2002 ◽

Author(s):

G. Yu ◽

W. Russell ◽

R. Schwartz ◽

J. Makhoul

Keyword(s):

Speech Recognition ◽

Discriminant Analysis ◽

Vector Quantization ◽

Continuous Speech ◽

Continuous Speech Recognition

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Context-dependent hidden control neutral network architecture for continuous speech recognition

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1992.225888 ◽

1992 ◽

Author(s):

B. Petek ◽

J. Tebelskis

Keyword(s):

Speech Recognition ◽

Network Architecture ◽

Neutral Network ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Context Dependent

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Context-Dependent Phonetic Hidden Markov Models for Speaker-Independent Continuous Speech Recognition

Speech Recognition and Understanding ◽

10.1007/978-3-642-76626-8_15 ◽

1992 ◽

pp. 133-133 ◽

Author(s):

Kay-Fu Lee

Keyword(s):

Speech Recognition ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Speaker Independent ◽

Context Dependent

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Leveraging phonetic context dependent invariant structure for continuous speech recognition

2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) ◽

10.1109/chinasip.2014.6889200 ◽

2014 ◽

Author(s):

Congying Zhang ◽

Masayuki Suzuki ◽

Gakuto Kurata ◽

Masafumi Nishimura ◽

Nobuaki Minematsu

Keyword(s):

Speech Recognition ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Invariant Structure ◽

Context Dependent ◽

Phonetic Context

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Continuous speech recognition with modified learning vector quantization algorithm and two-level DP-matching

[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1992.225838 ◽

1992 ◽

Author(s):

S. Makino ◽

M. Endo ◽

T. Sone ◽

K. Kido

Keyword(s):

Speech Recognition ◽

Vector Quantization ◽

Learning Vector Quantization ◽

Continuous Speech ◽

Continuous Speech Recognition

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