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  Using Conditional Random Fields to Predict Pitch Accent in Conversational Speech

Gregory, M., & Altun, Y. (2004). Using Conditional Random Fields to Predict Pitch Accent in Conversational Speech. In 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004) (pp. 677-684). East Stroudsburg, PA, USA: ACL.

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 Creators:
Gregory, M, Author
Altun, Y1, Author           
Scott, Editor
D., Editor
Daelemans, W., Editor
Walker, M., Editor
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Abstract: The detection of prosodic characteristics is an important aspect of both speech synthesis and speech recognition. Correct placement of pitch accents aids in more natural sounding speech, while automatic detection of accents can contribute to better wordlevel recognition and better textual understanding. In this paper we investigate probabilistic, contextual, and phonological factors that influence pitch accent placement in natural, conversational speech in a sequence labeling setting. We introduce Conditional Random Fields (CRFs) to pitch accent prediction task in order to incorporate these factors efficiently in a sequence model. We demonstrate the usefulness and the incremental effect of these factors in a sequence model by performing experiments on hand labeled data from the Switchboard Corpus. Our model outperforms the baseline and previous models of pitch accent prediction on the Switchboard Corpus.

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 Dates: 2004-07
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: ISBN: 1-932432-34-5
URI: http://www.aclweb.org/mirror/acl2004/
BibTex Citekey: GregoryA2004
 Degree: -

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Title: 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004)
Place of Event: Barcelona, Spain
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Title: 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: East Stroudsburg, PA, USA : ACL
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 677 - 684 Identifier: -