A Statistical Approach to Automatic Speech Summarization

A Statistical Approach to Automatic Speech Summarization

This paper proposes a statistical approach to automatic speech summarization. In our method, a set of words maximizing a summarization score indicating the appropriateness of summarization is extracted from automatically transcribed speech and then concatenated to create a summary. The extraction pr...

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Bibliographic Details
Main Authors: Chiori Hori, Sadaoki Furui, Rob Malkin, Alex Waibel, Hua Yu
Format: Article
Language:English
Published: SpringerOpen 2003-02-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
speech summarization
summarization scores
two-level dynamic programming
stochastic dependency context free grammar
summarization accuracy.
Online Access:http://dx.doi.org/10.1155/S1110865703211112

Internet

http://dx.doi.org/10.1155/S1110865703211112

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