Syllable-based Chinese text/spoken document retrieval using text/speech queries

Bo Ren Bai, Berlin Chen, Hsin Min Wang

研究成果: 雜誌貢獻期刊論文同行評審

12 引文 斯高帕斯(Scopus)

摘要

In light of the rapid growth of Chinese information resources on the Internet, this study investigates a novel approach that deals with the problem of Chinese text and spoken document retrieval using both text and speech queries. By properly utilizing the monosyllabic structure of the Chinese language, the proposed approach estimates the statistical similarity between the text/speech queries and the text/spoken documents at the phonetic level using the syllable-based statistical information. The investigation successfully implemented a prototype system with an interface supporting some user-friendly functions and the initial test results demonstrate the feasibility of the proposed approach.

原文英語
頁(從 - 到)603-616
頁數14
期刊International Journal of Pattern Recognition and Artificial Intelligence
14
發行號5
DOIs
出版狀態已發佈 - 2000 八月

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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