Flexible speech act identification of spontaneous speech with disfluency

Chung Hsien Wu, Gwo Lang Yan

研究成果: Paper同行評審

摘要

This paper describes an approach for flexible speech act identification of spontaneous speech with disfluency. In this approach, semantic information, syntactic structure, and fragment features of an input utterance are statistically encapsulated into a proposed sp eech act hidden Markov model (SAHMM) to characterize the speech act. To deal with the disfluency problem in a sparse training corpus, an interpolation mechanism is exploited to re-estimate the state transition probability in SAHMM. Finally, the dialog system accepts the speech act with best score and returns the corresponding response. Experiments were conducted to evaluate the proposed approach using a spoken dialogue system for the air travel information service. A testing database from 25 speakers containing 480 dialogues including 3038 sentences was collected and used for evaluation. Using the proposed approach, the experimental results show that the performance can achieve 90.3% in speech act correct rate (SACR) and 85.5% in fragment correct rate (FCR) for fluent speech and gains a significant improvement of 5.7% in SACR and 6.9% in FCR compared to the baseline system without considering filled pauses for disfluent speech.

原文English
頁面653-656
頁數4
出版狀態Published - 2003 1月 1
事件8th European Conference on Speech Communication and Technology, EUROSPEECH 2003 - Geneva, Switzerland
持續時間: 2003 9月 12003 9月 4

Other

Other8th European Conference on Speech Communication and Technology, EUROSPEECH 2003
國家/地區Switzerland
城市Geneva
期間03-09-0103-09-04

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 軟體
  • 語言和語言學
  • 通訊

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