Cluster Identification for Speaker
نویسنده
چکیده
Cluster Identification is introduced as the process of jointly evaluating clustering and labelling schemes for cluster-labelling scheme selection. Normalized Rand and BBN metrics for comparing clustering performances across varied clustering and labelling schemes are presented. The merits of the metrics are evaluated and applied for speaker-environment tracking in Broadcast News.
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