@inproceedings{shaik-etal-2013-rwth,
title = "The {RWTH} {A}achen {G}erman and {E}nglish {LVCSR} systems for {IWSLT}-2013",
author = {Shaik, M. Ali Basha and
T{\"u}ske, Zoltan and
Wiesler, Simon and
Nu{\ss}baum-Thom, Markus and
Peitz, Stephan and
Schl{\"u}ter, Ralf and
Ney, Hermann},
editor = "Zhang, Joy Ying",
booktitle = "Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign",
month = dec # " 5-6",
year = "2013",
address = "Heidelberg, Germany",
url = "https://aclanthology.org/2013.iwslt-evaluation.15",
abstract = "In this paper, German and English large vocabulary continuous speech recognition (LVCSR) systems developed by the RWTH Aachen University for the IWSLT-2013 evaluation campaign are presented. Good improvements are obtained with state-of-the-art monolingual and multilingual bottleneck features. In addition, an open vocabulary approach using morphemic sub-lexical units is investigated along with the language model adaptation for the German LVCSR. For both the languages, competitive WERs are achieved using system combination.",
}
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<abstract>In this paper, German and English large vocabulary continuous speech recognition (LVCSR) systems developed by the RWTH Aachen University for the IWSLT-2013 evaluation campaign are presented. Good improvements are obtained with state-of-the-art monolingual and multilingual bottleneck features. In addition, an open vocabulary approach using morphemic sub-lexical units is investigated along with the language model adaptation for the German LVCSR. For both the languages, competitive WERs are achieved using system combination.</abstract>
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%0 Conference Proceedings
%T The RWTH Aachen German and English LVCSR systems for IWSLT-2013
%A Shaik, M. Ali Basha
%A Tüske, Zoltan
%A Wiesler, Simon
%A Nußbaum-Thom, Markus
%A Peitz, Stephan
%A Schlüter, Ralf
%A Ney, Hermann
%Y Zhang, Joy Ying
%S Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign
%D 2013
%8 dec 5 6
%C Heidelberg, Germany
%F shaik-etal-2013-rwth
%X In this paper, German and English large vocabulary continuous speech recognition (LVCSR) systems developed by the RWTH Aachen University for the IWSLT-2013 evaluation campaign are presented. Good improvements are obtained with state-of-the-art monolingual and multilingual bottleneck features. In addition, an open vocabulary approach using morphemic sub-lexical units is investigated along with the language model adaptation for the German LVCSR. For both the languages, competitive WERs are achieved using system combination.
%U https://aclanthology.org/2013.iwslt-evaluation.15
Markdown (Informal)
[The RWTH Aachen German and English LVCSR systems for IWSLT-2013](https://aclanthology.org/2013.iwslt-evaluation.15) (Shaik et al., IWSLT 2013)
ACL