@inproceedings{heck-etal-2012-kit,
title = "The {KIT}-{NAIST} (contrastive) {E}nglish {ASR} system for {IWSLT} 2012",
author = {Heck, Michael and
Kubo, Keigo and
Sperber, Matthias and
Sakti, Sakriani and
St{\"u}ker, Sebastian and
Saam, Christian and
Kilgour, Kevin and
Mohr, Christian and
Neubig, Graham and
Toda, Tomoki and
Nakamura, Satoshi and
Waibel, Alex},
booktitle = "Proceedings of the 9th International Workshop on Spoken Language Translation: Evaluation Campaign",
month = dec # " 6-7",
year = "2012",
address = "Hong Kong, Table of contents",
url = "https://aclanthology.org/2012.iwslt-evaluation.11",
pages = "91--95",
abstract = "This paper describes the KIT-NAIST (Contrastive) English speech recognition system for the IWSLT 2012 Evaluation Campaign. In particular, we participated in the ASR track of the IWSLT TED task. The system was developed by Karlsruhe Institute of Technology (KIT) and Nara Institute of Science and Technology (NAIST) teams in collaboration within the interACT project. We employ single system decoding with fully continuous and semi-continuous models, as well as a three-stage, multipass system combination framework built with the Janus Recognition Toolkit. On the IWSLT 2010 test set our single system introduced in this work achieves a WER of 17.6{\%}, and our final combination achieves a WER of 14.4{\%}.",
}
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<abstract>This paper describes the KIT-NAIST (Contrastive) English speech recognition system for the IWSLT 2012 Evaluation Campaign. In particular, we participated in the ASR track of the IWSLT TED task. The system was developed by Karlsruhe Institute of Technology (KIT) and Nara Institute of Science and Technology (NAIST) teams in collaboration within the interACT project. We employ single system decoding with fully continuous and semi-continuous models, as well as a three-stage, multipass system combination framework built with the Janus Recognition Toolkit. On the IWSLT 2010 test set our single system introduced in this work achieves a WER of 17.6%, and our final combination achieves a WER of 14.4%.</abstract>
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%0 Conference Proceedings
%T The KIT-NAIST (contrastive) English ASR system for IWSLT 2012
%A Heck, Michael
%A Kubo, Keigo
%A Sperber, Matthias
%A Sakti, Sakriani
%A Stüker, Sebastian
%A Saam, Christian
%A Kilgour, Kevin
%A Mohr, Christian
%A Neubig, Graham
%A Toda, Tomoki
%A Nakamura, Satoshi
%A Waibel, Alex
%S Proceedings of the 9th International Workshop on Spoken Language Translation: Evaluation Campaign
%D 2012
%8 dec 6 7
%C Hong Kong, Table of contents
%F heck-etal-2012-kit
%X This paper describes the KIT-NAIST (Contrastive) English speech recognition system for the IWSLT 2012 Evaluation Campaign. In particular, we participated in the ASR track of the IWSLT TED task. The system was developed by Karlsruhe Institute of Technology (KIT) and Nara Institute of Science and Technology (NAIST) teams in collaboration within the interACT project. We employ single system decoding with fully continuous and semi-continuous models, as well as a three-stage, multipass system combination framework built with the Janus Recognition Toolkit. On the IWSLT 2010 test set our single system introduced in this work achieves a WER of 17.6%, and our final combination achieves a WER of 14.4%.
%U https://aclanthology.org/2012.iwslt-evaluation.11
%P 91-95
Markdown (Informal)
[The KIT-NAIST (contrastive) English ASR system for IWSLT 2012](https://aclanthology.org/2012.iwslt-evaluation.11) (Heck et al., IWSLT 2012)
ACL
- Michael Heck, Keigo Kubo, Matthias Sperber, Sakriani Sakti, Sebastian Stüker, Christian Saam, Kevin Kilgour, Christian Mohr, Graham Neubig, Tomoki Toda, Satoshi Nakamura, and Alex Waibel. 2012. The KIT-NAIST (contrastive) English ASR system for IWSLT 2012. In Proceedings of the 9th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 91–95, Hong Kong, Table of contents.