Retrieval of broadcast news speech in Mandarin Chinese collected in Taiwan using syllable-level statistical characteristics

Berlin Chen, Hsin Min Wang, Lin Shan Lee

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

29 Citations (Scopus)

Abstract

Spoken document retrieval has been extensively studied over the years because of its high potential in various applications in the near future. Considering the monosyllabic structure of the Chinese language, a whole class of indexing features for retrieval of spoken documents in Mandarin Chinese using syllable-level statistical characteristics has been studied, and very encouraging experimental results on retrieval of broadcast news speech collected in Taiwan were obtained. This paper reports some interesting initial results and findings obtained in this research.

Original languageEnglish
Title of host publicationSpeech Processing II
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1771-1774
Number of pages4
ISBN (Electronic)0780362934
DOIs
Publication statusPublished - 2000 Jan 1
Event25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey
Duration: 2000 Jun 52000 Jun 9

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
ISSN (Print)1520-6149

Other

Other25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
CountryTurkey
CityIstanbul
Period00/6/500/6/9

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Chen, B., Wang, H. M., & Lee, L. S. (2000). Retrieval of broadcast news speech in Mandarin Chinese collected in Taiwan using syllable-level statistical characteristics. In Speech Processing II (pp. 1771-1774). [862096] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2000.862096