Retrieval of broadcast news speech in Mandarin Chinese collected in Taiwan using syllable-level statistical characteristics
Journal
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Journal Volume
3
Pages
1771-1774
Date Issued
2000
Author(s)
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. © 2000 IEEE.
Event(s)
25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000
SDGs
Other Subjects
Signal processing; Speech processing; Acoustic signal processing; Database systems; Indexing (of information); Information retrieval; Linguistics; Mathematical models; Pattern recognition systems; Radio broadcasting; Statistical methods; Broadcast news; Chinese language; High potential; Indexing features; Mandarin Chinese; Spoken document; Spoken document retrieval; Statistical characteristics; Information retrieval; Speech recognition; Broadcast news database; Mandarin Chinese language; Speech retrieval; Spoken document retrieval; Syllable recognition
Type
conference paper