Publication detail

Recurrent Neural Network based Language Modeling in Meeting Recognition

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

Original Title

Recurrent Neural Network based Language Modeling in Meeting Recognition

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

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

Authors

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

RIV year

2011

Released

27. 8. 2011

Publisher

International Speech Communication Association

Location

Florence

ISBN

978-1-61839-270-1

Book

Proceedings of Interspeech 2011

ISBN

1990-9772

Periodical

Proceedings of Interspeech

Year of study

2011

Number

8

State

French Republic

Pages from

2877

Pages to

2880

Pages count

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"
}