Publication detail

Sequence-discriminative Training of Deep Neural Networks

VESELÝ, K. GHOSHAL, A. BURGET, L. POVEY, D.

Original Title

Sequence-discriminative Training of Deep Neural Networks

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

This article presents experiments with DNN-HMM hybrid systems trained using frame-based cross-entropy and different sequence-discriminative criteria on the 300 hour Switchboard conversational telephone speech task.

Keywords

speech recognition, deep learning, sequencecriterion training, neural networks, reproducible research

Authors

VESELÝ, K.; GHOSHAL, A.; BURGET, L.; POVEY, D.

RIV year

2013

Released

25. 8. 2013

Publisher

International Speech Communication Association

Location

Lyon

ISBN

978-1-62993-443-3

Book

Proceedings of Interspeech 2013

ISBN

2308-457X

Periodical

Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech 2013).

Number

8

State

French Republic

Pages from

2345

Pages to

2349

Pages count

5

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2013/vesely_interspeech2013_IS131333.pdf

BibTex

@inproceedings{BUT103549,
  author="Karel {Veselý} and Arnab {Ghoshal} and Lukáš {Burget} and Daniel {Povey}",
  title="Sequence-discriminative Training of Deep Neural Networks",
  booktitle="Proceedings of Interspeech 2013",
  year="2013",
  journal="Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech 2013).",
  number="8",
  pages="2345--2349",
  publisher="International Speech Communication Association",
  address="Lyon",
  isbn="978-1-62993-443-3",
  issn="2308-457X",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2013/vesely_interspeech2013_IS131333.pdf"
}