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|a Glass, James R.
|e author
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|a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
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|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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|a Glass, James R.
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|a Glass, James R.
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|a Zhang, Yaodong
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|a Zhang, Yaodong, Ph. D. Massachusetts Institute of Technology
|e author
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|a Speech rhythm guided syllable nuclei detection
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|b Institute of Electrical and Electronics Engineers,
|c 2010-12-06T23:03:25Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/60218
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|a 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.
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|a en_US
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|a Article
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|t IEEE International Conference on Acoustics, Speech and Signal Processing
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