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

Berlin Chen; Hsin Min Wang; Lin Shan Lee

doi:10.1109/ICASSP.2000.862096

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

Berlin Chen, Hsin Min Wang, Lin Shan Lee

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Speech Processing II
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1771-1774
Number of pages	4
ISBN (Electronic)	0780362934
DOIs	https://doi.org/10.1109/ICASSP.2000.862096
Publication status	Published - 2000
Event	25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey Duration: 2000 Jun 5 → 2000 Jun 9

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	3
ISSN (Print)	1520-6149

Other

Other	25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
Country	Turkey
City	Istanbul
Period	2000/06/05 → 2000/06/09

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

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10.1109/ICASSP.2000.862096

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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

Retrieval of broadcast news speech in Mandarin Chinese collected in Taiwan using syllable-level statistical characteristics. / Chen, Berlin; Wang, Hsin Min; Lee, Lin Shan.

Speech Processing II. Institute of Electrical and Electronics Engineers Inc., 2000. p. 1771-1774 862096 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chen, B, Wang, HM & Lee, LS 2000, Retrieval of broadcast news speech in Mandarin Chinese collected in Taiwan using syllable-level statistical characteristics. in Speech Processing II., 862096, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 1771-1774, 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000, Istanbul, Turkey, 2000/06/05. https://doi.org/10.1109/ICASSP.2000.862096

Chen B, Wang HM, Lee LS. Retrieval of broadcast news speech in Mandarin Chinese collected in Taiwan using syllable-level statistical characteristics. In Speech Processing II. Institute of Electrical and Electronics Engineers Inc. 2000. p. 1771-1774. 862096. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2000.862096

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AB - 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.

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

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