Speech rhythm guided syllable nuclei detection
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Glass_Speech rhythm.pdf
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189.89 KB
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Author(s)
Glass, James R.
Zhang, Yaodong, Ph. D. Massachusetts Institute of Technology
Date Issued
April 2009
Journal
IEEE International Conference on Acoustics, Speech and Signal Processing
Publisher
Institute of Electrical and Electronics Engineers
Citation
Yaodong Zhang, and J.R. Glass. “Speech rhythm guided syllable nuclei detection.” Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on. 2009. 3797-3800. © 2009, IEEE
Version
Final published version
Abstract
In this paper, we present a novel speech-rhythm-guided syllable-nuclei location detection algorithm. As a departure from conventional methods, we introduce an instantaneous speech rhythm estimator to predict possible regions where syllable nuclei can appear. Within a possible region, a simple slope based peak counting algorithm is used to get the exact location of each syllable nucleus. We verify the correctness of our method by investigating the syllable nuclei interval distribution in TIMIT dataset, and evaluate the performance by comparing with a state-of-the-art syllable nuclei based speech rate detection approach.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICASSP.2009.4960454
