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A Research on the Stochastic Model for Spoken Language Understanding

  • Yong-Wan Roh
  • Kwang-Seok Hong
  • Hyon-Gu Lee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3043)

Abstract

In this paper, we propose a new stochastic model for sentence speech understanding using dictionary and thesaurus. The proposed model searches the dictionary for the same word with input text. If it is not in the dictionary, the proposed model search the high level words in the high level word dictionary based on the thesaurus. We compare the probability of sentence understanding model with threshold probability, and we’ll get the sentence understanding rate. We evaluated the performance of the sentence speech understanding system by applying twenty questions game. As the experiment results, we got sentence speech understanding accuracy of 79.8%. In this case probability (α) of high level word is 0.9 and threshold probability (β) is 0.38.

Keywords

Recognition Rate Speech Recognition Threshold Probability Understanding System Speech Recognizer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Juang, B.-H., Furui, S.: Automatic Recognition and Understanding of Spoken Language-A First Step Toward Natural Human-Machine Communication. In: Proceedings of the IEEE, August 2000, vol. 88, pp. 1142–1165 (2000)Google Scholar
  2. 2.
    Rovner, P., Bonnie, N.-W., Woods, W.A.: Control Concepts In A Speech Understanding System. IEEE transactions on acoustics, speech, and processing 23(1), 136–140 (1975)CrossRefGoogle Scholar
  3. 3.
    Cettolo, M., Corazza, A., Mori, R.D.: A Mixed Approach To Speech Understanding. In: ICSLP 1996, October 1996, vol. 2, pp. 845–848 (1996)Google Scholar
  4. 4.
    Rieraccini, R., Levin, E.: A Learning Approach To Natural Language Understanding. In: NATO ASI Series, vol. F147, Spriger, Heidelberg (1995)Google Scholar
  5. 5.
    Walker, D.E.: The SRI Speech Understanding System. IEEE transactions on acoustics, speech, and signal processing 23(5), 397–416 (1975)CrossRefGoogle Scholar
  6. 6.
    Bennacef, S.K., Bonneau-Maynard, H., Gauvain, J.L., Lamel, L., Minker, W.: A Spoken Language System for information retrieval. In: ICSLP, pp. 1271–1274 (1994)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Yong-Wan Roh
    • 1
  • Kwang-Seok Hong
    • 1
  • Hyon-Gu Lee
    • 2
  1. 1.School of Information and Communication EngineeringSungkyunkwan UniversityJangan-gu, SuwonKorea
  2. 2.Information and Communication EngineeringSeoil Junior CollegeSeoulKorea

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