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Model-based methods for sequential organization in cochannel speech require pretrained speaker models and often prior knowledge of participating speakers. We propose an unsupervised approach to sequential organization of cochannel speech. Based on cepstral features, we first cluster voiced speech into two speaker groups by maximizing the ratio of between-and within-group distances penalized by within-group concurrent pitches. To group unvoiced speech, we employ an onset/offset based analysis todoi:10.1109/icassp.2011.5947388 dblp:conf/icassp/HuW11 fatcat:byu4hgei35fhpclepux7d5ma5u