Speaker Independent Phoneme Recognition Based on Fisher Weight Map

2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008) ◽

10.1109/mue.2008.82 ◽

2008 ◽

Cited By ~ 2

Author(s):

Takashi Muroi ◽

Tetsuya Takiguchi ◽

Yasuo Ariki

Keyword(s):

Phoneme Recognition ◽

Speaker Independent ◽

Weight Map

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Phoneme recognition based on fisher weight map to higher-order local auto-correlation

10.21437/interspeech.2006-126 ◽

2006 ◽

Author(s):

Yasuo Ariki ◽

Shunsuke Kato ◽

Tetsuya Takiguchi

Keyword(s):

Higher Order ◽

Phoneme Recognition ◽

Auto Correlation ◽

Weight Map

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Autoassociator-based modular architecture for speaker independent phoneme recognition

Proceedings of IEEE Workshop on Neural Networks for Signal Processing ◽

10.1109/nnsp.1994.366036 ◽

2002 ◽

Author(s):

L. Lastrucci ◽

G. Bellesi ◽

M. Gori ◽

G. Soda

Keyword(s):

Modular Architecture ◽

Phoneme Recognition ◽

Speaker Independent

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Speaker-Independent Phoneme Recognition Using Network Units Based on the a posteriori Probability

Recent Research Towards Advanced Man-Machine Interface Through Spoken Language ◽

10.1016/b978-044481607-8/50061-x ◽

1996 ◽

pp. 167-176

Author(s):

Jouji Miwa

Keyword(s):

Posteriori Probability ◽

A Posteriori ◽

Phoneme Recognition ◽

A Posteriori Probability ◽

Speaker Independent

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A comparison of auditory models for speaker independent phoneme recognition

IEEE International Conference on Acoustics Speech and Signal Processing ◽

10.1109/icassp.1993.319277 ◽

1993 ◽

Cited By ~ 7

Author(s):

T.R. Anderson

Keyword(s):

Phoneme Recognition ◽

Auditory Models ◽

Speaker Independent

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Performance comparison of neural network architectures for speaker-independent phoneme recognition

Systems and Computers in Japan ◽

10.1002/scj.4690231407 ◽

1992 ◽

Vol 23 (14) ◽

pp. 72-83 ◽

Cited By ~ 1

Author(s):

Satoru Nakamura ◽

Hidefumi Sawai

Keyword(s):

Neural Network ◽

Performance Comparison ◽

Network Architectures ◽

Phoneme Recognition ◽

Speaker Independent ◽

Neural Network Architectures

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Speaker-independent phoneme recognition on TIMIT database using integrated time-delay neural networks (TDNNs)

10.1109/ijcnn.1990.137544 ◽

1990 ◽

Cited By ~ 7

Author(s):

N. Hataoka ◽

A.H. Waibel

Keyword(s):

Neural Networks ◽

Time Delay ◽

Phoneme Recognition ◽

Speaker Independent ◽

Timit Database

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Speaker independent word recognition system based on phoneme recognition for a large size (212 words) vocabulary.

Journal of the Acoustical Society of Japan (E) ◽

10.1250/ast.6.171 ◽

1985 ◽

Vol 6 (3) ◽

pp. 171-180

Author(s):

Shozo Makino ◽

Shigeru Homma ◽

Ken'iti Kido

Keyword(s):

Word Recognition ◽

Recognition System ◽

Phoneme Recognition ◽

Large Size ◽

Speaker Independent

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Speaker-independent phoneme recognition using large-scale neural networks

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

10.1109/icassp.1992.225885 ◽

1992 ◽

Cited By ~ 2

Author(s):

S. Nakamura ◽

H. Sawai ◽

M. Sugiyama

Keyword(s):

Neural Networks ◽

Large Scale ◽

Phoneme Recognition ◽

Speaker Independent

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Use of semi-Markov models for speaker-independent phoneme recognition

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

10.1109/icassp.1992.225845 ◽

1992 ◽

Cited By ~ 5

Author(s):

N. Ratnayake ◽

M. Savic ◽

J. Sorensen

Keyword(s):

Markov Models ◽

Phoneme Recognition ◽

Speaker Independent

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Speaker‐independent phoneme recognition using hidden Markov models

The Journal of the Acoustical Society of America ◽

10.1121/1.2026408 ◽

1988 ◽

Vol 84 (S1) ◽

pp. S62-S62 ◽

Cited By ~ 1

Author(s):

Kai‐Fu Lee ◽

Hsiao‐Wuen Hon

Keyword(s):

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Phoneme Recognition ◽

Speaker Independent

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