We have been studying various topics by using a large-scale corpus, which was built at CIAIR, to construct a robust and practical spoken dialogue system. The CIAIR project has developed a data collection vehicle and collected about 179 hours of multi-modal data in total. We have transcribed the speech data by about 800 subjects, and annotated speech intentions, dependency structures, dialogue structures to the text data. We are continuing various research using the annotated data, such as speech. Intention understanding and speakers knowledge acquisition. In this paper, we introduce our research activities, and present the various fruits of the in-car speech corpus.
Cite as: Yamaguchi, Y., Hayashi, K., Ono, T., Kato, S., Irie, Y., Ohno, T., Murao, H., Matsubara, S., Kawaguchi, N., Takeda, K. (2005) Towards robust spoken dialog systems using large-scale in-car speech corpus. Proc. Biennial on DSP for In-Vehicle and Mobile Systems, paper A1-4
@inproceedings{yamaguchi05_dspinv,
author={Yukiko Yamaguchi and Keita Hayashi and Takahiro Ono and Shingo Kato and Yuki Irie and Tomohiro Ohno and Hiroya Murao and Shigeki Matsubara and Nobuo Kawaguchi and Kazuya Takeda},
title={{Towards robust spoken dialog systems using large-scale in-car speech corpus}},
year=2005,
booktitle={Proc. Biennial on DSP for In-Vehicle and Mobile Systems},
pages={paper A1-4}
}