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 | |
| Publication status | Published - 2000 Jan 1 |
| 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 | 00/6/5 → 00/6/9 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering
Cite this
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
}
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 -