ISCA Archive ICSLP 2000
ISCA Archive ICSLP 2000

New feature parameters for detecting misunderstandings in a spoken dialogue system

Jun-Ichi Hirasawa, Noboru Miyazaki, Mikio Nakano, Kiyoaki Aikawa

This paper describes new feature parameters for detecting misunderstandings in a spoken dialogue system. Although recognition errors cannot be completely avoided with current speech recognition techniques, a spoken dialogue system could be a good human-machine interface if it could automatically detect and recover from its own misunderstandings during natural interaction between it and a user. For this purpose, we collected user responses to system confirmations with/without the system misunderstandings using the wizard of OZ method so that we could analyze the differences in the characteristics of user responses following correct/incorrect confirmations. The experimental results demonstrate that the content and duration of the user responses are good feature parameters for detecting the system's misunderstandings.


Cite as: Hirasawa, J.-I., Miyazaki, N., Nakano, M., Aikawa, K. (2000) New feature parameters for detecting misunderstandings in a spoken dialogue system. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 2, 154-157

@inproceedings{hirasawa00_icslp,
  author={Jun-Ichi Hirasawa and Noboru Miyazaki and Mikio Nakano and Kiyoaki Aikawa},
  title={{New feature parameters for detecting misunderstandings in a spoken dialogue system}},
  year=2000,
  booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
  pages={vol. 2, 154-157}
}