Aug 20, 2007 · This paper proposes the concept of a score predictive model (SPM) that can refine the phoneme boundaries obtained by a hidden Markov model ...
An SPM is constructed by using support vector regression. It predicts the score of a phoneme boundary according to the boundary's 58-dimensional feature vector.
Experimental results demonstrate that the proposed score predictive model (SPM) is able to effectively refine the results of the HMM and DTW.
This paper proposes a score predictive model (SPM) based approach to integrate two segmentation results obtained by HMM and DTW for a Mandarin singing voice ...
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This paper proposes a score predictive model (SPM) based approach to integrate two segmentation results obtained by HMM and DTW for a Mandarin singing voice ...
Abstract: This paper proposes the concept of a score predictive model (SPM) that can refine the phoneme boundaries obtained by a hidden Markov model (HMM) and ...
This paper proposes the concept of a score predictive model (SPM) that can refine the phoneme boundaries obtained by a hidden Markov model (HMM) and dynamic ...
Phonetic segmentation is the breakup and classification of the sound signal into a string of phones. This is a fundamental step for using a corpora for a ...
In this paper, the design and implementation of a corpus-based singing voice synthesis (SVS) system for Mandarin Chinese was introduced.
Automatic phonetic segmentation by score predictive model for the ...
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Automatic phonetic segmentation by score predictive model for the corpora of mandarin singing voices. Author: LIN, Cheng-Yuan1 ; ROGER JANG, Jyh-Shing1