Please use this identifier to cite or link to this item:
Title: Cluster-dependent feature transformation with divergence-based out-of-handset rejection for robust speaker verification
Authors: Tsang, CL
Mak, MW 
Rung, SY
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
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.
Keywords: Pattern clustering
Speaker recognition
Telephone sets
ISBN: 0-7803-8185-8
DOI: 10.1109/ICICS.2003.1292695
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Last Week
Last month
Citations as of Sep 29, 2020

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.