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Cluster-Dependent Feature Transformation for Telephone-Based Speaker Verification

Overview This paper presents a cluster-based feature transformation technique for telephone-based speaker verification when labels of the handset types are not available during the training phase. The technique combines a cluster selector with cluster-dependent feature trans formations to reduce the acoustic mismatches among different handsets Specifically, a GMM-based cluster selector is trained to identify the cluster that best represents the handset used by a claimant.

Further White Paper Details
PublisherPrinceton University File FormatPDF
Date PublishedMarch 2003
FormatWhite Papers   
Topics
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