Result Details

Parallel training of neural networks for speech recognition

VESELÝ, K. Parallel training of neural networks for speech recognition. Proceedings of the 16th Conference STUDENT EEICT 2010. Volume 3. Brno: Brno University of Technology, 2010. p. 74-76. ISBN: 978-80-214-4078-4.
Type
conference paper
Language
English
Authors
Abstract

The paper is on Parallel Training of Neural Networks for Speech Recognition. A new parallel-training tool TNet was designed and optimized for multiprocessor computers. The training acceleration rates are reported on a phoneme-state classification task.

Keywords

neural network, phoneme classification, posterior features, backpropagation training, data parallelization

URL
Annotation

The feed-forward multi-layer neural networks have significant importance in speech recognition. A new parallel-training tool TNet was designed and optimized for multiprocessor computers. The training acceleration rates are reported on a phoneme-state classification task.

Published
2010
Pages
74–76
Proceedings
Proceedings of the 16th Conference STUDENT EEICT 2010
Series
Volume 3
Conference
Student EEICT 2010
ISBN
978-80-214-4078-4
Publisher
Brno University of Technology
Place
Brno
BibTeX
@inproceedings{BUT35831,
  author="Karel {Veselý}",
  title="Parallel training of neural networks for speech recognition",
  booktitle="Proceedings of the 16th Conference STUDENT EEICT 2010",
  year="2010",
  series="Volume 3",
  pages="74--76",
  publisher="Brno University of Technology",
  address="Brno",
  isbn="978-80-214-4078-4",
  url="https://www.fit.vut.cz/research/publication/9331/"
}
Projects
Overcoming the language barrier complicating investigation into financing terrorism and serious financial crimes, MV, Program bezpečnostního výzkumu, VD20072010B16, start: 2007-08-01, end: 2010-12-31, completed
Recognition and presentation of multimedia data, BUT, Vnitřní projekty VUT, FIT-S-10-2, 2010, start: 2010-04-01, end: 2010-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Speech Recognition under Real-World Conditions, GACR, Standardní projekty, GA102/08/0707, start: 2008-01-01, end: 2011-12-31, completed
Research groups
Departments
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