Prosody Study with Context-Dependent Acoustic Models

2008 6th International Symposium on Chinese Spoken Language Processing ◽

10.1109/chinsl.2008.ecp.26 ◽

2008 ◽

Author(s):

Yue-Ning Hu ◽

Min Chu

Keyword(s):

Acoustic Models ◽

Context Dependent

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Different size multilingual phone inventories and context-dependent acoustic models for language identification

10.21437/interspeech.2005-717 ◽

2005 ◽

Author(s):

Dong Zhu ◽

Martine Adda-Decker ◽

Fabien Antoine

Keyword(s):

Language Identification ◽

Acoustic Models ◽

Context Dependent

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Fragmented context-dependent syllable acoustic models

10.21437/interspeech.2008-133 ◽

2008 ◽

Author(s):

K. Thambiratnam ◽

Frank Seide

Keyword(s):

Acoustic Models ◽

Context Dependent

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Building context-dependent DNN acoustic models using Kullback-Leibler divergence-based state tying

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

10.1109/icassp.2015.7178836 ◽

2015 ◽

Author(s):

Gabor Gosztolya ◽

Tamas Grosz ◽

Laszlo Toth ◽

David Imseng

Keyword(s):

Acoustic Models ◽

Leibler Divergence ◽

Context Dependent ◽

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Complementary tasks for context-dependent deep neural network acoustic models

10.21437/interspeech.2015-716 ◽

2015 ◽

Author(s):

Peter Bell ◽

Steve Renals

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Acoustic Models ◽

Context Dependent

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Continuous mixture densities and linear discriminant analysis for improved context-dependent acoustic models

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.1993.319393 ◽

1993 ◽

Author(s):

X. Aubert ◽

R. Haeb-Umbach ◽

H. Ney

Keyword(s):

Discriminant Analysis ◽

Linear Discriminant Analysis ◽

Linear Discriminant ◽

Acoustic Models ◽

Mixture Densities ◽

Continuous Mixture ◽

Context Dependent

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Natural number recognition using MCE trained inter-word context dependent acoustic models

Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181) ◽

10.1109/icassp.1998.674466 ◽

2002 ◽

Author(s):

M.B. Gandhi ◽

J. Jacob

Keyword(s):

Natural Number ◽

Acoustic Models ◽

Word Context ◽

Number Recognition ◽

Context Dependent

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Speech recognizer having a speech coder for an acoustic match based on context‐dependent speech‐transition acoustic models

The Journal of the Acoustical Society of America ◽

10.1121/1.411888 ◽

1995 ◽

Vol 97 (4) ◽

pp. 2629-2629

Author(s):

Lalit R. Bahl

Keyword(s):

Acoustic Models ◽

Context Dependent ◽

Speech Coder ◽

Speech Recognizer

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Construction of weighted finite state transducers for very wide context-dependent acoustic models

IEEE Workshop on Automatic Speech Recognition and Understanding, 2005. ◽

10.1109/asru.2005.1566482 ◽

2005 ◽

Author(s):

M. Schuster ◽

T. Hori

Keyword(s):

Acoustic Models ◽

Wide Context ◽

Finite State Transducers ◽

Finite State ◽

Context Dependent ◽

Weighted Finite State Transducers

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Training Context-Dependent DNN Acoustic Models Using Probabilistic Sampling

10.21437/interspeech.2017-338 ◽

2017 ◽

Author(s):

Tamás Grósz ◽

Gábor Gosztolya ◽

László Tóth

Keyword(s):

Training Context ◽

Acoustic Models ◽

Probabilistic Sampling ◽

Context Dependent

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Multitask Learning of Context-Dependent Targets in Deep Neural Network Acoustic Models

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2016.2630305 ◽

2017 ◽

Vol 25 (2) ◽

pp. 238-247 ◽

Author(s):

Peter Bell ◽

Pawel Swietojanski ◽

Steve Renals

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Multitask Learning ◽

Acoustic Models ◽

Context Dependent

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