Lin, C.-Y.C.-Y.LinJYH-SHING JANG2018-09-102018-09-102006https://www.scopus.com/inward/record.uri?eid=2-s2.0-44949214944&partnerID=40&md5=f6f0d5efba9405a15e4ddfa8d8a928e7http://scholars.lib.ntu.edu.tw/handle/123456789/323043This paper proposes a score predictive model (SPM) based approach to integrate two segmentation results obtained by HMM and DTW for a Mandarin singing voice corpus. The SPM can predict the score of a boundary according to its corresponding 14 dimensional feature vector. In order to verify the performance of the proposed method, several experiments were performed. The experimental results demonstrate the feasibility of the proposed approach.Automatic phonetic segmentation; Boundary refinement; Score predictive modelBoundary refinements; Feature vectors; Phonetic segmentation; Predictive modeling; Segmentation results; Singing voices; Linguisticsconference paper2-s2.0-44949214944