Automatic phonetic segmentation by using a SPM-based approach for a mandarin singing voice corpus
Journal
INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
Journal Volume
5
Pages
2294 -2297
Date Issued
2006
Author(s)
Lin, C.-Y.
Abstract
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 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.
Event(s)
INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP
Subjects
Automatic phonetic segmentation; Boundary refinement; Score predictive model
Other Subjects
Boundary refinements; Feature vectors; Phonetic segmentation; Predictive modeling; Segmentation results; Singing voices; Linguistics
Type
conference paper