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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chi-Leung Tsang Man-Wai Mak Sun-Yuan Rung |
| Copyright Year | 2003 |
| Description | Author affiliation: Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China (Chi-Leung Tsang; Man-Wai Mak) |
| Abstract | This paper proposes a divergence-based cluster selector with out-of-handset (OOH) rejection capability to identify the 'unseen' handsets. This is achieved by measuring the Jensen difference between the selector's output and a constant vector with identical elements. The resulting cluster selector is combined with a feature-based channel compensation algorithm for telephone-based speaker verification. Utterances whose handsets are identified as 'unseen' are normalized by cepstral mean subtraction (CMS). On the other hand, if the handset can be identified (considered as 'seen'), a corresponding set of cluster-dependent transformation parameters are used to transform the utterances. Experiments based on ten handsets of the HTIMIT corpus show that using the cluster-dependent transformation parameters to transform the utterances with correctly identified handsets and processing those utterances with 'unseen' handsets by CMS achieve the best result. |
| Sponsorship | Microsoft Res. Asia Singapore Exhibition and Convention Bureau |
| Starting Page | 1399 |
| Ending Page | 1403 |
| File Size | 377432 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780381858 |
| DOI | 10.1109/ICICS.2003.1292695 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-12-15 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Telephone sets Collision mitigation Clustering algorithms Cepstral analysis Nonlinear distortion Signal processing Signal processing algorithms Stochastic processes Maximum likelihood estimation |
| Content Type | Text |
| Resource Type | Article |
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