| Publisher | Princeton University | ||
|---|---|---|---|
| Format | 145.9KB PDF | Date added | 24 Mar 2003 |
| Topics | Mobile - Wireless Communications, GSM | ||
| Downloads | 18 | ||
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.
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