Detail publikace

Parallel Training of Neural Networks for Speech Recognition

VESELÝ, K. BURGET, L. GRÉZL, F.

Originální název

Parallel Training of Neural Networks for Speech Recognition

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

VESELÝ, K.; BURGET, L.; GRÉZL, F.

Rok RIV

2010

Vydáno

6. 9. 2010

Nakladatel

Springer Verlag

Místo

Brno

ISBN

978-3-642-15759-2

Kniha

Prof. Text, Speech and Dialogue 2010

Edice

LNAI 6231

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Ročník

2010

Číslo

9

Stát

Spolková republika Německo

Strany od

439

Strany do

446

Strany počet

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"
}