Filled Pause Refinement Based on the Pronunciation Probability for Lecture Speech-Reference-Cited by-同舟云学术

Filled Pause Refinement Based on the Pronunciation Probability for Lecture Speech

Published:2015-04-10 Issue:4 Volume:10 Page:e0123466
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Long Yan-Hua,Ye Hong

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference35 articles.

1. Medeiros H, Moniz H, Batista F, Trabcoso I, Nunes L (2013) Disfluency detection based on prosodic features for university lectures. In: Proceedings of the Annual Conference of the International Speech Communication Association. pp.2629–2633.

2. Shriberg E (2005) Spontaneous speech: How people really talk, and why engineers should care. In: Proceedings of the Annual Conference of the International Speech Communication Association. pp.1781–1784.

3. Shriberg E (1996) Disfluencies in switchboard. In: Proceedings of the International Conference on Spoken Language Processing. volume 96, pp.3–6.

4. Recognizing disfluencies in conversational speech;M Lease;IEEE Trans Audio Speech Lang Processing,2006

5. Hesitation disfluencies in spontaneous speech: The meaning of um;M Corley;Language and Linguistics Compass,2008

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