Publication detail

Parallel training of neural networks for speech recognition

VESELÝ, K.

Original Title

Parallel training of neural networks for speech recognition

Type

article in a collection out of WoS and Scopus

Language

English

Original 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

Authors

VESELÝ, K.

RIV year

2010

Released

29. 4. 2010

Publisher

Brno University of Technology

Location

Brno

ISBN

978-80-214-4078-4

Book

Proceedings of the 16th Conference STUDENT EEICT 2010

Edition

Volume 3

Pages from

74

Pages to

76

Pages count

3

URL

https://www.fit.vut.cz/research/publication/9331/

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/"
}