Error recovery and sentence verification Using statistical partial pattern tree for conversational speech

Chung Hsien Wu, Yeou Jiunn Chen, Cher Yao Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, in order to deal with the problems of disfluencies in conversational speech, a partial pattern tree (PPT) and a PPT-based statistical language model are proposed. A partial pattern is defined to represent a sub-sentence with a key-phrase and some optional/functional phrases. The PPT is an integrated tree structure of the partial patterns generated from the training sentences and used to model the n-gram and grammatical constraints. In addition, a PPT merging algorithm is also proposed to reduce the number of partial patterns with similar syntactic structure by minimizing an objective cost function. Using the PPT, the undetected/misdetected errors due to disfluencies can be recovered. Finally, a sentence verification approach is proposed to re-rank the recovered sentences generated from the PPT. In order to assess the performance, a faculty name inquiry system with 2583 names has been implemented. The recognition accuracy of the system using the proposed PPT achieved 77.23%. We also contrasted this method with previous conventional approaches to show its superior performance.

Original languageEnglish
Title of host publication6th International Conference on Spoken Language Processing, ICSLP 2000
PublisherInternational Speech Communication Association
ISBN (Electronic)7801501144, 9787801501141
Publication statusPublished - 2000 Jan 1
Event6th International Conference on Spoken Language Processing, ICSLP 2000 - Beijing, China
Duration: 2000 Oct 162000 Oct 20

Publication series

Name6th International Conference on Spoken Language Processing, ICSLP 2000

Other

Other6th International Conference on Spoken Language Processing, ICSLP 2000
CountryChina
CityBeijing
Period00-10-1600-10-20

All Science Journal Classification (ASJC) codes

  • Linguistics and Language
  • Language and Linguistics

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  • Cite this

    Wu, C. H., Chen, Y. J., & Yang, C. Y. (2000). Error recovery and sentence verification Using statistical partial pattern tree for conversational speech. In 6th International Conference on Spoken Language Processing, ICSLP 2000 (6th International Conference on Spoken Language Processing, ICSLP 2000). International Speech Communication Association.