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

English Title

Sequence-discriminative Training of Deep Neural Networks

Type

conference paper

Language

en

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.

English 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

RIV year

2013

Released

25.08.2013

Publisher

International Speech Communication Association

Location

Lyon

ISBN

978-1-62993-443-3

Book

Proceedings of Interspeech 2013

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

2345

Pages to

2349

Pages count

5

URL

Documents

BibTex


@inproceedings{BUT103549,
  author="Karel {Veselý} and Arnab {Ghoshal} and Lukáš {Burget} and Daniel {Povey}",
  title="Sequence-discriminative Training of Deep Neural Networks",
  annote="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.",
  address="International Speech Communication Association",
  booktitle="Proceedings of Interspeech 2013",
  chapter="103549",
  edition="NEUVEDEN",
  howpublished="print",
  institution="International Speech Communication Association",
  number="8",
  year="2013",
  month="august",
  pages="2345--2349",
  publisher="International Speech Communication Association",
  type="conference paper"
}