Accessing Information in Spoken Audio

April 19-20, 1999
Cambridge, UK

Speaker Tracking in Broadcast Audio Material in the Framework of the THISL Project

Laurent Couvreur and Jean-Marc Boite

Faculté Polytechnique de Mons, Belgium

In this paper, we present a first approach to build an automatic system for broadcast news speaker-based segmentation. Based on a "Chop-and-Recluster" method, this system is developed in the framework of the THISL project. A metric-based segmentation is used for the "Chop" procedure and different distances have been investigated. The "Recluster" procedure relies on a "bottom-up" clustering of segments obtained beforehand and represented by non-parametric models. Various hierarchical clustering schemes have been tested. Some experiments on BBC broadcast news recordings show that the system can detect real speaker changes with high accuracy (mean error = 0.7s) and fair false alarm rate (mean false alarm rate = 5.5% ). The "Recluster" procedure can produce homogeneous clusters but it is not already robust enough to tackle too complex classification tasks.

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Bibliographic reference.  Couvreur, Laurent / Boite, Jean-Marc (1999): "Speaker tracking in broadcast audio material in the framework of the THISL project", In Access-Audio-1999, 84-89.