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"
}