NDLI: Fine-grained pitch accent and boundary tone labeling with parametric F0 features

Content Provider	IEEE Xplore Digital Library
Author	Ananthakrishnan, S. Narayanan, S.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. Eng., Southern California Univ., Los Angeles, CA (Ananthakrishnan, S.; Narayanan, S.)
Abstract	Motivated by linguistic theories of prosodic categoricity, symbolic representations of prosody have recently attracted the attention of speech technologists. Categorical representations such as ToBI not only bear linguistic relevance, but also have the advantage that they can be easily modeled and integrated within applications. Since manual labeling of these categories is time-consuming and expensive, there has been significant interest in automatic prosody labeling. This paper presents a fine-grained ToBI-style prosody labeling system that makes use of features derived from RFC and TILT parameterization of FO together with a n-gram prosodic language model for 4-way pitch accent labeling and 2-way boundary tone labeling. For this task, our system achieves pitch accent labeling accuracy of 56.4% and boundary tone labeling accuracy of 67.7% on the Boston University Radio News Corpus.
Starting Page	4545
Ending Page	4548
File Size	190565
Page Count	4
File Format	PDF
ISBN	9781424414833
ISSN	15206149
DOI	10.1109/ICASSP.2008.4518667
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Labeling Speech analysis Speech synthesis Laboratories Viterbi algorithm Standards development Large-scale systems Natural languages Humans Testing TILT prosody pitch accent boundary tone ToBI RFC
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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