Speech retrieval using spoken keyword extraction and semantic verification

Chung Hsien Wu, Chien Lin Huang, Chin Shun Hsu, Kuei Ming Lee

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

Speech is an informative signal, which contains not only the meaning of its text content but also the emotions of the speaker represented by prosodic information. This study presents a novel approach using spoken keyword extraction and semantic verification to speech retrieval. An information extraction approach based on acoustic, prosodic and linguistic information is proposed for significant information/keyword extraction. Semantic verification with forward-backward propagation is applied to improve the precision of the retrieved documents. In the forward procedure, a bag of keywords is selected according to word significance measure. In the backward procedure, semantic relation between keywords is estimated for semantic verification. The verification score is then used to weight and re-rank the retrieved documents to improve the retrieval performance. Experiments were conducted on a collected broadcast news database of 198 hours. Experimental results show that the proposed methods achieve better retrieval results compared to other conventional indexing methods.

原文English
主出版物標題TENCON 2007 - 2007 IEEE Region 10 Conference
DOIs
出版狀態Published - 2007 十二月 1
事件IEEE Region 10 Conference, TENCON 2007 - Taipei, Taiwan
持續時間: 2007 十月 302007 十一月 2

出版系列

名字IEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

OtherIEEE Region 10 Conference, TENCON 2007
國家/地區Taiwan
城市Taipei
期間07-10-3007-11-02

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 電氣與電子工程

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