Publication 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.

Czech title

Paralelní trénování neuronových sítí pro rozpoznávání řeči

Type

conference paper

Language

English

Authors

Veselý Karel, Ing., Ph.D. (DCGM)

URL

Keywords

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

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.

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, FEKT VUT v Brně, CZ

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/"
}