Spoken document summarization and retrieval for wireless application

Chung Hsien Wu, Chien Lin Huang, Chia Hsin Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For the purpose of wireless data transformation, spoken document summarization can efficiently reduce the redundant contents. This study presents a voice-activated spoken document summarization and retrieval scheme using text and speech analysis. In this method, prosody, speech recognition confidence, word significance, word trigram and semantic dependency are considered in the summarization score. A dynamic programming algorithm is used to seek the best summarization result. Experimental results indicate that the proposed approach effectively summarizes concise spoken sentences containing important words with semantic dependency.

Original languageEnglish
Title of host publication2005 International Conference on Wireless Networks, Communications and Mobile Computing
Pages1388-1393
Number of pages6
DOIs
Publication statusPublished - 2005 Dec 1
Event2005 International Conference on Wireless Networks, Communications and Mobile Computing - Maui, HI, United States
Duration: 2005 Jun 132005 Jun 16

Publication series

Name2005 International Conference on Wireless Networks, Communications and Mobile Computing
Volume2

Other

Other2005 International Conference on Wireless Networks, Communications and Mobile Computing
CountryUnited States
CityMaui, HI
Period05-06-1305-06-16

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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