Krishna, Gowtham B and Sreenivas, TV (2008) A comparative study of speaker adaptation methods. In: TENCON-IEEE Region 10 Conference Proceedings, 19-21 Nov, 2008, Hyderabad, pp. 2508-2511.
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For the problem of speaker adaptation in speech recognition, the performance depends on the availability of adaptation data. In this paper, we have compared several existing speaker adaptation methods, viz. maximum likelihood linear regression (MLLR), eigenvoice (EV), eigenspace-based MLLR (EMLLR), segmental eigenvoice (SEV) and hierarchical eigenvoice (HEV) based methods. We also develop a new method by modifying the existing HEV method for achieving further performance improvement in a limited available data scenario. In the sense of availability of adaptation data, the new modified HEV (MHEV) method is shown to perform better than all the existing methods throughout the range of operation except the case of MLLR at the availability of more adaptation data.
|Item Type:||Conference Paper|
|Additional Information:||Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Keywords:||Eigenvoice approach;principal component analysis;speaker adaptation.|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||14 Jul 2009 13:59|
|Last Modified:||19 Sep 2010 05:36|
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