Phoneme Selection for Studies in Automatic Speech Recognition

The Journal of the Acoustical Society of America ◽

10.1121/1.1918140 ◽

1962 ◽

Vol 34 (4) ◽

pp. 397-403 ◽

Author(s):

J. E. Shoup

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

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Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition

10.21437/interspeech.2019-1797 ◽

2019 ◽

Author(s):

Mortaza Doulaty ◽

Thomas Hain

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Latent Dirichlet Allocation ◽

Data Selection ◽

Acoustic Data ◽

Selection For ◽

Dirichlet Allocation

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Textual Data Selection for Language Modelling in the Scope of Automatic Speech Recognition

Procedia Computer Science ◽

10.1016/j.procs.2018.03.008 ◽

2018 ◽

Vol 128 ◽

pp. 55-64

Author(s):

Freha Mezzoudj ◽

David Langlois ◽

Denis Jouvet ◽

Abdelkader Benyettou

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Data Selection ◽

Textual Data ◽

Language Modelling ◽

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In search of optimal data selection for training of automatic speech recognition systems

2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721) ◽

10.1109/asru.2003.1318405 ◽

2004 ◽

Author(s):

A. Nagroski ◽

L. Boves ◽

H. Steeneken

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Data Selection ◽

Recognition Systems ◽

Selection For ◽

Optimal Data Selection

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Optimal automatic speech recognition system selection for noisy environments

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA) ◽

10.1109/apsipa.2016.7820854 ◽

2016 ◽

Author(s):

Yuuki Tachioka ◽

Tomohiro Narita

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Recognition System ◽

Speech Recognition System ◽

Noisy Environments ◽

Automatic Speech Recognition System ◽

Selection For ◽

System Selection

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Discriminative approach to lexical entry selection for automatic speech recognition of agglutinative language

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2012.6289045 ◽

2012 ◽

Author(s):

Mijit Ablimit ◽

Tatsuya Kawahara ◽

Askar Hamdulla

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Lexical Entry ◽

Discriminative Approach ◽

Selection For ◽

Agglutinative Language

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Blind Model Selection for Automatic Speech Recognition in Reverberant Environments

The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology ◽

10.1023/b:vlsi.0000015096.78139.82 ◽

2004 ◽

Vol 36 (2/3) ◽

pp. 189-203 ◽

Author(s):

Laurent Couvreur ◽

Christophe Couvreur

Keyword(s):

Speech Recognition ◽

Model Selection ◽

Automatic Speech Recognition ◽

Reverberant Environments ◽

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Blind Model Selection for Automatic Speech Recognition in Reverberant Environments

Real World Speech Processing ◽

10.1007/978-1-4757-6363-8_9 ◽

2004 ◽

pp. 115-129 ◽

Author(s):

Laurent Couvreur ◽

Christophe Couvreur

Keyword(s):

Speech Recognition ◽

Model Selection ◽

Automatic Speech Recognition ◽

Reverberant Environments ◽

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Feature selection for robust automatic speech recognition: a temporal offset approach

International Journal of Speech Technology ◽

10.1007/s10772-015-9276-6 ◽

2015 ◽

Vol 18 (3) ◽

pp. 395-404 ◽

Author(s):

Ludovic Trottier ◽

Philippe Giguère ◽

Brahim Chaib-draa

Keyword(s):

Feature Selection ◽

Speech Recognition ◽

Automatic Speech Recognition ◽

Selection For ◽

Temporal Offset

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Automatic speech recognition at the University of Paris

PsycEXTRA Dataset ◽

10.1037/e506252009-002 ◽

1975 ◽

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

University Of Paris ◽

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Multichannel Spatial Clustering for Robust Far-Field Automatic Speech Recognition in Mismatched Conditions

10.21437/interspeech.2016-1275 ◽

2016 ◽

Author(s):

Michael I. Mandel ◽

Jon Barker

Keyword(s):

Speech Recognition ◽

Automatic Speech Recognition ◽

Spatial Clustering ◽

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