Detail publikace

Recurrent Neural Network based Language Modeling in Meeting Recognition

KOMBRINK, S. MIKOLOV, T. KARAFIÁT, M. BURGET, L.

Originální název

Recurrent Neural Network based Language Modeling in Meeting Recognition

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

In this paper we recommend the use of RNN language models as easy mean to improve an existing LVCSR system, either by improving ngram models using data sampled from an RNN or by performing the proposed rescoring and adaptation postprocessing steps.

Klíčová slova

automatic speech recognition, language modeling, recurrent neural networks, rescoring, adaptation

Autoři

KOMBRINK, S.; MIKOLOV, T.; KARAFIÁT, M.; BURGET, L.

Rok RIV

2011

Vydáno

27. 8. 2011

Nakladatel

International Speech Communication Association

Místo

Florence

ISBN

978-1-61839-270-1

Kniha

Proceedings of Interspeech 2011

ISSN

1990-9772

Periodikum

Proceedings of Interspeech

Ročník

2011

Číslo

8

Stát

Francouzská republika

Strany od

2877

Strany do

2880

Strany počet

4

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2011/kombrink_interspeech2011_792.pdf

BibTex

@inproceedings{BUT76441,
  author="Stefan {Kombrink} and Tomáš {Mikolov} and Martin {Karafiát} and Lukáš {Burget}",
  title="Recurrent Neural Network based Language Modeling in Meeting Recognition",
  booktitle="Proceedings of Interspeech 2011",
  year="2011",
  journal="Proceedings of Interspeech",
  volume="2011",
  number="8",
  pages="2877--2880",
  publisher="International Speech Communication Association",
  address="Florence",
  isbn="978-1-61839-270-1",
  issn="1990-9772",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2011/kombrink_interspeech2011_792.pdf"
}