Automatic prosodic segmentation by F 0 clustering using superpositional modeling

Mitsuru Nakai, Harald Singer, Yoshinori Sagisaka, Hiroshi Shimodaira

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper, we propose an automatic method for detecting accent phrase boundaries in Japanese continuous speech by using F 0 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 F 0 contour. About 90% of accent phrase boundaries were correctly detected in speaker independent experiments with the ATR Japanese continuous speech database.

Original languageEnglish
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherIEEE
Pages624-627
Number of pages4
Volume1
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 1 (of 5) - Detroit, MI, USA
Duration: 1995 May 91995 May 12

Other

OtherProceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 1 (of 5)
CityDetroit, MI, USA
Period95/5/995/5/12

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ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Cite this

Nakai, M., Singer, H., Sagisaka, Y., & Shimodaira, H. (1995). Automatic prosodic segmentation by F 0 clustering using superpositional modeling In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 1, pp. 624-627). IEEE.