@inproceedings{yamamoto-etal-2012-nict,
    title = "The {NICT} {ASR} system for {IWSLT}2012",
    author = "Yamamoto, Hitoshi  and
      Wu, Youzheng  and
      Huang, Chien-Lin  and
      Lu, Xugang  and
      Dixon, Paul R.  and
      Matsuda, Shigeki  and
      Hori, Chiori  and
      Kashioka, Hideki",
    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.2",
    pages = "34--37",
    abstract = "This paper describes our automatic speech recognition (ASR) system for the IWSLT 2012 evaluation campaign. The target data of the campaign is selected from the TED talks, a collection of public speeches on a variety of topics spoken in English. Our ASR system is based on weighted finite-state transducers and exploits an combination of acoustic models for spontaneous speech, language models based on n-gram and factored recurrent neural network trained with effectively selected corpora, and unsupervised topic adaptation framework utilizing ASR results. Accordingly, the system achieved 10.6{\%} and 12.0{\%} word error rate for the tst2011 and tst2012 evaluation set, respectively.",
}