Publication detail

Parallel Training of Neural Networks for Speech Recognition

VESELÝ, K. BURGET, L. GRÉZL, F.

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.; BURGET, L.; GRÉZL, F.

RIV year

2010

Released

6. 9. 2010

Publisher

Springer Verlag

Location

Brno

ISBN

978-3-642-15759-2

Book

Prof. Text, Speech and Dialogue 2010

Edition

LNAI 6231

ISBN

0302-9743

Periodical

Lecture Notes in Computer Science

Year of study

2010

Number

9

State

Federal Republic of Germany

Pages from

439

Pages to

446

Pages count

8

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2010/vesely_tsd2010.pdf

BibTex

@inproceedings{BUT35731,
  author="Karel {Veselý} and Lukáš {Burget} and František {Grézl}",
  title="Parallel Training of Neural Networks for Speech Recognition",
  booktitle="Prof. Text, Speech and Dialogue 2010",
  year="2010",
  series="LNAI 6231",
  journal="Lecture Notes in Computer Science",
  volume="2010",
  number="9",
  pages="439--446",
  publisher="Springer Verlag",
  address="Brno",
  isbn="978-3-642-15759-2",
  issn="0302-9743",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2010/vesely_tsd2010.pdf"
}