Automatic prosodic segmentation by F0 clustering using superpositional modeling

Mitsuru Nakai*, Harald Singer, Yoshinori Sagisaka, Hiroshi Shimodaira


研究成果: Conference article査読

10 被引用数 (Scopus)


In this paper, we propose an automatic method for detecting accent phrase boundaries in Japanese continuous speech by using F0 information. In the training phase, hand labeled accent patterns are parameterized according to a superpositional model proposed by Fujisaki, and assigned to some clusters by a clustering method, in which accent templates are calculated as centroid of each cluster. In the segmentation phase, automatic N-best extraction of boundaries is performed by One-Stage DP matching between the reference templates and the target F0 contour. About 90% of accent phrase boundaries were correctly detected in speaker independent experiments with the ATR Japanese continuous speech database.

ジャーナルICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
出版ステータスPublished - 1995
イベントProceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 1 (of 5) - Detroit, MI, USA
継続期間: 1995 5月 91995 5月 12

ASJC Scopus subject areas

  • ソフトウェア
  • 信号処理
  • 電子工学および電気工学


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