Laxman, Srivatsan and Sastry, PS (2004) Speaker Adaptation Through Speaker Specific Compensation. In: International Conference on Signal Processing and Communications:SPCOM '04, 11-14 December, Bangalore, India, pp. 81-85.
This paper describes a new speaker adaptation strategy that we term speaker specific compensation. The basic idea is to transform speech of a speaker in a way that renders it recognizable by a speaker dependent classifier built for another speaker. The compensating filter is learnt as a cepstral vector using labeled speech samples of the speaker. Using some ideas about combining multiple pattern classifiers, we present a new speaker independent speech recognition system that uses a few speaker dependent classifiers along with a bank of cepstral compensating vectors learnt for a large number of other speakers. Each of the speaker dependent classifiers is trained on the given speech samples of only one speaker and is never retrained or adapted thereafter. We present some results to illustrate the effectiveness of this speaker specific compensation idea.
|Item Type:||Conference Paper|
|Additional Information:||Copyright 2000 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.|
|Department/Centre:||Division of Electrical Sciences > Electrical Engineering|
|Date Deposited:||22 Aug 2008|
|Last Modified:||19 Sep 2010 04:35|
Actions (login required)