Detail publikace

Parallel Training of Neural Networks for Speech Recognition

Originální název

Parallel Training of Neural Networks for Speech Recognition

Anglický název

Parallel Training of Neural Networks for Speech Recognition

Jazyk

en

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.

Anglický 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.

BibTex 


@inproceedings{BUT35731,
  author="Karel {Veselý} and Lukáš {Burget} and František {Grézl}",
  title="Parallel Training of Neural Networks for Speech Recognition",
  annote="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.",
  address="Springer Verlag",
  booktitle="Prof. Text, Speech and Dialogue 2010",
  chapter="35731",
  edition="LNAI 6231",
  howpublished="print",
  institution="Springer Verlag",
  journal="Lecture Notes in Computer Science (IF 0,513)",
  number="9",
  year="2010",
  month="september",
  pages="439--446",
  publisher="Springer Verlag",
  type="conference paper"
}