International Symposium on Chinese Spoken Language Processing
August 23-24, 2002
An Automatic Speech Recognition Strategy Directed by the Semantic Knowledge in Dialogue System
Guoliang Zhang, Pengju Yan, Mingxing Xu, Wenhu Wu
Center of Speech Technology, State Key Laboratory of Intelligent Technology and Systems,
Tsinghua University, Beijing, China
In the recent years, the research on the dialogue system becomes
more and more important. The performance of the automatic
speech recognizer of the dialogue system is unsatisfied because
of bad recognizing performance for spontaneous utterance. To
solve this problem, this paper proposed an automatic speech
recognition strategy directed by the semantic knowledge in
dialogue system. The main idea of this strategy is to represent
the expected utterance of speaker given by the dialogue
management as a finite state network (FSN), which will be used
for semantic parsing simultaneous with the speech recognizing
and giving some feedbacks to direct the speech recognizing. The
speech recognition strategy is tested on our dialogue system
EasyFlight: a server of query and booking for the flight tickets.
The experiment results show that the strategy has better
performance than the baseline system.
ZHANG, Guoliang / YAN, Pengju / XU, Mingxing / WU, Wenhu (2002):
"An automatic speech recognition strategy directed by the semantic knowledge in dialogue system",
In ISCSLP 2002, paper 70.