Experiments in syllable-based retrieval of broadcast news speech in Mandarin Chinese

被引：16
|
作者：
Wang, HM [1 ]
机构：
[1] Acad Sinica, Inst Informat Sci, Taipei 115, Taiwan
来源：
SPEECH COMMUNICATION | 2000年 / 32卷 / 1-2期
关键词：
spoken document retrieval; broadcast news; Mandarin Chinese; syllable lattice; speech recognition; hidden Markov Model;
D O I：
10.1016/S0167-6393(00)00023-6
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Spoken document retrieval (SDR) has been extensively studied in recent years because of its potential use in navigating large multi-media collections in the near future. Considering the characteristics and monosyllabic structure of the Chinese language, the syllable-based indexing for retrieval of spoken documents in Mandarin Chinese has been investigated, and extensive experiments on retrieval of broadcast news speech collected in Taiwan were performed. This paper reports some interesting results and findings obtained in this research. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：49 / 60
页数：12
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