Sixth International Conference on Spoken Language Processing
October 16-20, 2000
New Feature Parameters for Detecting Misunderstandings in a Spoken Dialogue System
Jun-Ichi Hirasawa, Noboru Miyazaki, Mikio Nakano, Kiyoaki Aikawa
NTT Laboratories, Atsugi, Kanagawa, Japan
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.
Hirasawa, Jun-Ichi / Miyazaki, Noboru / Nakano, Mikio / Aikawa, Kiyoaki (2000):
"New feature parameters for detecting misunderstandings in a spoken dialogue system",
In ICSLP-2000, vol.2, 154-157.