Spoken document summarization using acoustic, prosodic and semantic information

Chien Lin Huang, Chia Hsin Hsieh, Chung-Hsien Wu

研究成果: Conference contribution

6 引文 斯高帕斯(Scopus)

摘要

This paper presents a spoken document summarization scheme using acoustic, prosodic and semantic information. First, speech recognition confidence is estimated to choose reliable words from the speech transcription. Prosodic information, including pitch and energy, is used for stressed word selection. Latent semantic indexing (LSI) is adopted to identify significant words. Finally, word trigram and semantic dependency is measured to include the syntactic and semantic information for speech summarization. The dynamic programming (DP) algorithm is used to find the best summarization result according to the summarization score estimated from the above five measures. Finally, the summarized result is presented by the concatenation of the summarized speech words. Experimental results indicate that the proposed approach effectively extracts important words and gives a promising speech summary.

原文English
主出版物標題IEEE International Conference on Multimedia and Expo, ICME 2005
頁面434-437
頁數4
DOIs
出版狀態Published - 2005 十二月 1
事件IEEE International Conference on Multimedia and Expo, ICME 2005 - Amsterdam, Netherlands
持續時間: 2005 七月 62005 七月 8

出版系列

名字IEEE International Conference on Multimedia and Expo, ICME 2005
2005

Other

OtherIEEE International Conference on Multimedia and Expo, ICME 2005
國家/地區Netherlands
城市Amsterdam
期間05-07-0605-07-08

All Science Journal Classification (ASJC) codes

  • 工程 (全部)

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