Power-Law Nonlinearity with Maximally Uniform Distribution Criterion for Improved Neural Network Training in Automatic Speech Recognition

2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) ◽

10.1109/asru46091.2019.9003973 ◽

2019 ◽

Cited By ~ 1

Author(s):

Chanwoo Kim ◽

Mehul Kumar ◽

Kwangyoun Kim ◽

Dhananjaya Gowda

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Uniform Distribution ◽

Automatic Speech Recognition ◽

Power Law ◽

Neural Network Training ◽

Network Training

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A comparative case study of neural network training by using frame-level cost functions for automatic speech recognition purposes in Spanish

Multimedia Tools and Applications ◽

10.1007/s11042-020-08782-0 ◽

2020 ◽

Vol 79 (27-28) ◽

pp. 19669-19715

Author(s):

Aldonso Becerra ◽

J. Ismael de la Rosa ◽

Efrén González ◽

A. David Pedroza ◽

N. Iracemi Escalante ◽

...

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Automatic Speech Recognition ◽

Cost Functions ◽

Comparative Case Study ◽

Neural Network Training ◽

Network Training

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Beyond cross-entropy: towards better frame-level objective functions for deep neural network training in automatic speech recognition

10.21437/interspeech.2014-306 ◽

2014 ◽

Author(s):

Zhen Huang ◽

Jinyu Li ◽

Chao Weng ◽

Chin-Hui Lee

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Automatic Speech Recognition ◽

Deep Neural Network ◽

Cross Entropy ◽

Neural Network Training ◽

Objective Functions ◽

Network Training

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Size matters: an empirical study of neural network training for large vocabulary continuous speech recognition

1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258) ◽

10.1109/icassp.1999.759875 ◽

1999 ◽

Cited By ~ 12

Author(s):

D. Ellis ◽

N. Morgan

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Empirical Study ◽

Neural Network Training ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Large Vocabulary ◽

Network Training

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A Comparison of Deep Neural Network Training Methods for Large Vocabulary Speech Recognition

Text, Speech, and Dialogue - Lecture Notes in Computer Science ◽

10.1007/978-3-642-40585-3_6 ◽

2013 ◽

pp. 36-43 ◽

Cited By ~ 9

Author(s):

László Tóth ◽

Tamás Grósz

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Deep Neural Network ◽

Training Methods ◽

Neural Network Training ◽

Large Vocabulary ◽

Network Training ◽

Large Vocabulary Speech Recognition

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Small Energy Masking for Improved Neural Network Training for End-To-End Speech Recognition

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp40776.2020.9054382 ◽

2020 ◽

Author(s):

Chanwoo Kim ◽

Kwangyoun Kim ◽

Sathish Reddy Indurthi

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Neural Network Training ◽

Small Energy ◽

Network Training ◽

End To End

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Deep neural network training for whispered speech recognition using small databases and generative model sampling

International Journal of Speech Technology ◽

10.1007/s10772-017-9461-x ◽

2017 ◽

Vol 20 (4) ◽

pp. 1063-1075 ◽

Cited By ~ 3

Author(s):

Shabnam Ghaffarzadegan ◽

Hynek Bořil ◽

John H. L. Hansen

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Deep Neural Network ◽

Generative Model ◽

Neural Network Training ◽

Network Training ◽

Whispered Speech

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Hidden Markov model/neural network training techniques for connected alphadigit speech recognition

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.1991.150290 ◽

1991 ◽

Cited By ~ 5

Author(s):

M.M. Hochberg ◽

L.T. Niles ◽

J.T. Foote ◽

H.F. Silverman

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Markov Model ◽

Hidden Markov Model ◽

Hidden Markov ◽

Neural Network Training ◽

Training Techniques ◽

Network Training

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Parallel implementation of Artificial Neural Network training for speech recognition

Pattern Recognition Letters ◽

10.1016/j.patrec.2010.02.003 ◽

2010 ◽

Vol 31 (11) ◽

pp. 1302-1309 ◽

Cited By ~ 23

Author(s):

Stefano Scanzio ◽

Sandro Cumani ◽

Roberto Gemello ◽

Franco Mana ◽

P. Laface

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Speech Recognition ◽

Parallel Implementation ◽

Neural Network Training ◽

Network Training ◽

Artificial Neural ◽

Artificial Neural Network Training

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Dynamic learning rate neural network training and composite structural damage detection

AIAA Journal ◽

10.2514/3.13701 ◽

1997 ◽

Vol 35 ◽

pp. 1522-1527

Author(s):

H. Luo ◽

S. Hanagud

Keyword(s):

Neural Network ◽

Damage Detection ◽

Structural Damage ◽

Learning Rate ◽

Neural Network Training ◽

Structural Damage Detection ◽

Dynamic Learning ◽

Network Training

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Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp39728.2021.9413453 ◽

2021 ◽

Author(s):

Chao-Han Huck Yang ◽

Jun Qi ◽

Samuel Yen-Chi Chen ◽

Pin-Yu Chen ◽

Sabato Marco Siniscalchi ◽

...

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Speech Recognition ◽

Convolutional Neural Network ◽

Automatic Speech Recognition

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