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

Anglický název

Improving Language Models for ASR Using Translated In-domain Data

Jazyk

en

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.

Anglický 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.

Dokumenty

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",
  annote="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.",
  address="IEEE Signal Processing Society",
  booktitle="Proceedings of 2012 IEEE International Conference on Acoustics, Speech and Signal Processing",
  chapter="91478",
  doi="10.1109/ICASSP.2012.6288896",
  edition="NEUVEDEN",
  howpublished="print",
  institution="IEEE Signal Processing Society",
  year="2012",
  month="march",
  pages="4405--4408",
  publisher="IEEE Signal Processing Society",
  type="conference paper"
}