Neural Networks for Continuous Speech Recognition

2019 ◽

Author(s):

Shoukang Hu ◽

Max W. Y. Lam ◽

Xurong Xie ◽

Shansong Liu ◽

Jianwei Yu ◽

...

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Gaussian Process ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Large Vocabulary

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Frequency-time-shift-invariant time-delay neural networks for robust continuous speech recognition

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

10.1109/icassp.1991.150274 ◽

1991 ◽

Cited By ~ 14

Author(s):

H. Sawai

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Time Delay ◽

Time Shift ◽

Continuous Speech ◽

Continuous Speech Recognition

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The Use of Recurrent Neural Networks in Continuous Speech Recognition

The Kluwer International Series in Engineering and Computer Science - Automatic Speech and Speaker Recognition ◽

10.1007/978-1-4613-1367-0_10 ◽

1996 ◽

pp. 233-258 ◽

Cited By ~ 30

Author(s):

Tony Robinson ◽

Mike Hochberg ◽

Steve Renals

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Recurrent Neural Networks ◽

Continuous Speech ◽

Continuous Speech Recognition

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Continuous speech recognition with neural networks and stationary-transitional acoustic units

Proceedings of International Conference on Neural Networks (ICNN'97) ◽

10.1109/icnn.1997.614230 ◽

2002 ◽

Cited By ~ 11

Author(s):

R. Gemello ◽

D. Albesano ◽

F. Mana

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Continuous Speech ◽

Continuous Speech Recognition

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Phonetically motivated acoustic parameters for continuous speech recognition using artificial neural networks

Speech Communication ◽

10.1016/0167-6393(92)90020-8 ◽

1992 ◽

Vol 11 (2-3) ◽

pp. 261-271 ◽

Cited By ~ 5

Author(s):

Yoshua Bengio ◽

Renato De Mori ◽

Giovanni Flammia ◽

Ralf Kompe

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Speech Recognition ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Acoustic Parameters ◽

Artificial Neural

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A comparative study of continuous speech recognition using neural networks and hidden Markov models

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

10.1109/icassp.1991.150353 ◽

1991 ◽

Cited By ~ 6

Author(s):

S. Renals ◽

D. McKelvie ◽

F. McInnes

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Comparative Study ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Continuous Speech ◽

Continuous Speech Recognition

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Environment-independent continuous speech recognition using neural networks and hidden Markov models

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings ◽

10.1109/icassp.1996.550597 ◽

2002 ◽

Author(s):

Dong-Suk Yuk ◽

ChiWei Che ◽

Limin Jin ◽

Qiguang Lin

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Continuous Speech ◽

Continuous Speech Recognition

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Improving state-of-the-art continuous speech recognition systems using the N-best paradigm with neural networks

Proceedings of the workshop on Speech and Natural Language - HLT '91 ◽

10.3115/1075527.1075567 ◽

1992 ◽

Cited By ~ 1

Author(s):

S. Austin ◽

G. Zavaliagkos ◽

J. Makhoul ◽

R. Schwartz

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

State Of The Art ◽

Continuous Speech ◽

Continuous Speech Recognition ◽

Recognition Systems

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Toward growing modular deep neural networks for continuous speech recognition

Neural Computing and Applications ◽

10.1007/s00521-016-2438-x ◽

2016 ◽

Vol 28 (S1) ◽

pp. 1177-1196 ◽

Cited By ~ 8

Author(s):

Zohreh Ansari ◽

Seyyed Ali Seyyedsalehi

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Deep Neural Networks ◽

Continuous Speech ◽

Continuous Speech Recognition

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Continuous speech recognition using linked predictive neural networks

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

10.1109/icassp.1991.150278 ◽

1991 ◽

Cited By ~ 37

Author(s):

J. Tebelskis ◽

A. Waibel ◽

B. Petek ◽

O. Schmidbauer

Keyword(s):

Neural Networks ◽

Speech Recognition ◽

Continuous Speech ◽

Continuous Speech Recognition

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Neural Networks for Continuous Speech Recognition

Bayesian and Gaussian Process Neural Networks for Large Vocabulary Continuous Speech Recognition

Frequency-time-shift-invariant time-delay neural networks for robust continuous speech recognition

The Use of Recurrent Neural Networks in Continuous Speech Recognition

Continuous speech recognition with neural networks and stationary-transitional acoustic units

Phonetically motivated acoustic parameters for continuous speech recognition using artificial neural networks

A comparative study of continuous speech recognition using neural networks and hidden Markov models

Environment-independent continuous speech recognition using neural networks and hidden Markov models

Improving state-of-the-art continuous speech recognition systems using the N-best paradigm with neural networks

Toward growing modular deep neural networks for continuous speech recognition

Continuous speech recognition using linked predictive neural networks

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