Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37651
Title: Cluster-dependent feature transformation with divergence-based out-of-handset rejection for robust speaker verification
Authors: Tsang, CL
Mak, MW 
Rung, SY
Keywords: Pattern clustering
Speaker recognition
Telephone sets
Issue Date: 2003
Source: Proceedings of the Joint Conference of the 4th International Conference on Information, Communications and Signal Processing, 2003 and 4th Pacific-Rim Conference on Multimedia (ICICS-PCM'2003), Singapore, 15-18 Dec. 2003, p. 1399-1403 How to cite?
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.
URI: http://hdl.handle.net/10397/37651
ISBN: 0-7803-8185-8
DOI: 10.1109/ICICS.2003.1292695
Appears in Collections:Conference Paper

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