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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 期刊論文 >  Automatic Phonetic Segmentation by Score Predictive Model for the Corpora of Mandarin Singing Voices


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/12641


    Title: Automatic Phonetic Segmentation by Score Predictive Model for the Corpora of Mandarin Singing Voices
    Authors: Cheng-Yuan Lin
    Jyh-Shing Jang
    Date: 2007
    Publisher: Institute of Electrical and Electronics Engineers Inc
    Keywords: Automatic phonetic segmentation
    boundary refinement
    score predictive model
    singing voice synthesis
    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 dynamic time warping (DTW) for a Mandarin singing voice corpus. 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. The correctly identified boundaries of a singing corpus can then be used for corpus-based singing voice synthesis. Several experiments with different settings, including the use of different initial estimates, different acoustic features, and various regression approaches, were designed to verify the feasibility of the proposed approach. Experimental results demonstrate that the proposed SPM is able to effectively refine the results of the HMM and DTW.
    Relation Link: http://webservices.ieee.org/pindex_basic.html
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/12641
    Appears in Collections:[資訊工程學系] 期刊論文
    [資訊系統與應用研究所] 期刊論文
    [電腦與通訊科技研發中心] 期刊論文

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