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

Berlin Chen, Hsin Min Wang, Lin Shan Lee

研究成果: 書貢獻/報告類型會議貢獻

29 引文 (Scopus)

摘要

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.

原文英語
主出版物標題Speech Processing II
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1771-1774
頁數4
ISBN(電子)0780362934
DOIs
出版狀態已發佈 - 2000 一月 1
事件25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, 土耳其
持續時間: 2000 六月 52000 六月 9

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
3
ISSN(列印)1520-6149

其他

其他25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
國家土耳其
城市Istanbul
期間00/6/500/6/9

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

引用此文

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. 於 Speech Processing II (頁 1771-1774). [862096] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; 卷 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; 卷 3).

研究成果: 書貢獻/報告類型會議貢獻

Chen, B, Wang, HM & Lee, LS 2000, Retrieval of broadcast news speech in Mandarin Chinese collected in Taiwan using syllable-level statistical characteristics. 於 Speech Processing II., 862096, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 卷 3, Institute of Electrical and Electronics Engineers Inc., 頁 1771-1774, 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000, Istanbul, 土耳其, 00/6/5. 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. 於 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
Chen, Berlin ; Wang, Hsin Min ; Lee, Lin Shan. / Retrieval of broadcast news speech in Mandarin Chinese collected in Taiwan using syllable-level statistical characteristics. Speech Processing II. Institute of Electrical and Electronics Engineers Inc., 2000. 頁 1771-1774 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).
@inproceedings{6312f2510a9043c2a1e4fffa5b32f0d7,
title = "Retrieval of broadcast news speech in Mandarin Chinese collected in Taiwan using syllable-level statistical characteristics",
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.",
author = "Berlin Chen and Wang, {Hsin Min} and Lee, {Lin Shan}",
year = "2000",
month = "1",
day = "1",
doi = "10.1109/ICASSP.2000.862096",
language = "English",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1771--1774",
booktitle = "Speech Processing II",

}

TY - GEN

T1 - Retrieval of broadcast news speech in Mandarin Chinese collected in Taiwan using syllable-level statistical characteristics

AU - Chen, Berlin

AU - Wang, Hsin Min

AU - Lee, Lin Shan

PY - 2000/1/1

Y1 - 2000/1/1

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=0033693282&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033693282&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2000.862096

DO - 10.1109/ICASSP.2000.862096

M3 - Conference contribution

AN - SCOPUS:0033693282

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 1771

EP - 1774

BT - Speech Processing II

PB - Institute of Electrical and Electronics Engineers Inc.

ER -