Detail publikace

Improving Language Models for ASR Using Translated In-domain Data

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

Originální název

Improving Language Models for ASR Using Translated In-domain Data

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

This paper descibes how to do the acquisition of in-domain training data for the puspose of building speech recognition systems for under-resourced languages.

Klíčová slova

Low Resource ASR, Language Modeling, Machine Translation

Autoři

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

Rok RIV

2012

Vydáno

25. 3. 2012

Nakladatel

IEEE Signal Processing Society

Místo

Kyoto

ISBN

978-1-4673-0044-5

Kniha

Proceedings of 2012 IEEE International Conference on Acoustics, Speech and Signal Processing

Strany od

4405

Strany do

4408

Strany počet

4

URL

http://www.fit.vutbr.cz/research/groups/speech/publi/2012/kombrink_icassp2012_0004405.pdf

BibTex

@inproceedings{BUT91478,
  author="Stefan {Kombrink} and Tomáš {Mikolov} and Martin {Karafiát} and Lukáš {Burget}",
  title="Improving Language Models for ASR Using Translated In-domain Data",
  booktitle="Proceedings of 2012 IEEE International Conference on Acoustics, Speech and Signal Processing",
  year="2012",
  pages="4405--4408",
  publisher="IEEE Signal Processing Society",
  address="Kyoto",
  doi="10.1109/ICASSP.2012.6288896",
  isbn="978-1-4673-0044-5",
  url="http://www.fit.vutbr.cz/research/groups/speech/publi/2012/kombrink_icassp2012_0004405.pdf"
}