Spoken document retrieval and summarization

Berlin Chen, Hsin Min Wang, Lin Shan Lee

研究成果: 書貢獻/報告類型篇章

1 引文 斯高帕斯(Scopus)

摘要

Huge, continually increasing quantities of multimedia content including speech information are filling up our computers, networks and lives. It is obvious that speech is one of the most important sources of information for multimedia content, as it is the speech of the content that tells us of the subjects, topics and concepts. As a result, the associated spoken documents of the multimedia content will be key for content retrieval and browsing. Substantial efforts along with very encouraging results for spoken document transcription, retrieval, and summarization have been reported. This chapter presents a concise yet comprehensive overview of information retrieval and automatic summarization technologies that have been developed in recent years for efficient spoken document retrieval and browsing applications. An example prototype system for voice retrieval of Chinese broadcast news collected in Taiwan will be introduced as well.

原文英語
主出版物標題Advances in Chinese Spoken Language Processing
發行者World Scientific Publishing Co.
頁面301-320
頁數20
ISBN(電子)9789812772961
ISBN(列印)9812569049, 9789812569042
DOIs
出版狀態已發佈 - 2006 一月 1

ASJC Scopus subject areas

  • 電腦科學(全部)

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