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AUTOMATIC VS. MANUAL TOPIC SEGMENTATION AND INDEXATION IN BROADCAST NEWS

By R. Amaral, H. Meinedo, I. Trancoso and J. Neto

Abstract

This paper describes the latest progress in our work on Broadcast News for European Portuguese. The central modules of our media watch system that matches the topic of each news story against the user preferences registered in the system are: audio pre-processing, speech recognition and topic segmentation and indexation. The main focus of the paper is on the impact of the errors made by the earlier modules in the last ones. This impact is in our opinion an essential diagnostic tool for the improvement of the overall pipeline system. 1

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.135.3956
Provided by: CiteSeerX
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