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This paper addresses the problem of unsupervised speaker change detection. Three systems based on the Bayesian Information Criterion (BIC) are tested. The first system investigates the AudioSpec-trumCentroid and the AudioWaveformEnvelope features, implements a dynamic thresholding followed by a fusion scheme, and finally applies BIC. The second method is a real-time one that uses a metric-based approach employing the line spectral pairs and the BIC to validate a potential speaker change point.doi:10.1109/icme.2006.262727 dblp:conf/icmcs/KottiMBCK06 fatcat:tiijtpw7dbd23dujepm2qoc2f4