Speech-based Content Indexing System for Broadcast News
Yoshihiko Hayashi
This talk introduces an automatic content indexing system for news
programs, with a special emphasis on its segmentation process. The
process can successfully segment an entire news program into
topic-centered news stories; the primary tool is a linguistic topic
segmentation algorithm. Experiments show that the resulting
speech-based segments are fairly accurate, and scene change points
supplied by an external video processor can be of help in improving
segmentation effectiveness.