Ninth International Conference on Spoken Language Processing

Pittsburgh, PA, USA
September 17-21, 2006

Automatic Phonetic Segmentation by Using a SPM-Based Approach for a Mandarin Singing Voice Corpus

Cheng-Yuan Lin, J.-S. Roger Jang

National Tsing Hua University, Taiwan

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.

Full Paper

Bibliographic reference.  Lin, Cheng-Yuan / Jang, J.-S. Roger (2006): "Automatic phonetic segmentation by using a SPM-based approach for a Mandarin singing voice corpus", In INTERSPEECH-2006, paper 1489-Thu1BuP.12.