標題: Design of vocabulary-independent Mandarin keyword spotters
作者: Liu, CM
Chiu, CC
Chang, HY
資訊工程學系
Department of Computer Science
關鍵字: keyword spotting;speech recognition
公開日期: 1-七月-2000
摘要: This paper considers the design of a vocabulary-independent keyword spotter for Mandarin speech according to the framework by Huang et al. [1]. This paper considers three varieties of filler model structures for the framework based on subsyllabic grammar of Mandarin speech. On the basis of the three structures, we infer the problems of this framework through three arguments and presents two methods to modify the spotting vehicle.
URI: http://dx.doi.org/10.1109/89.848230
http://hdl.handle.net/11536/30394
ISSN: 1063-6676
DOI: 10.1109/89.848230
期刊: IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING
Volume: 8
Issue: 4
起始頁: 483
結束頁: 487
顯示於類別:期刊論文


文件中的檔案:

  1. 000088129800013.pdf