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Text-dependent speaker recognition using speaker specific compensation

Srivatsan Laxman and P. S. Sastry


This paper proposes a newmethod for text-dependent speaker recognition. The scheme is based on learning (what we refer to as) speaker-specific compensators for each speaker in the system. The compensator is essentially a speaker to speaker transformationwhich enables the recognition of the speech of one speaker through a speaker-dependent speech recognition system built for the other. Such a transformation, adequate for our purposes, may be achieved by a simple vector addition in the cepstral domain. This speaker-specific compensator captures the characteristics of the speaker we wish to recognize. For each speaker who is registered into the system, we learn a unique set of compensators. The speaker recognition decision is then based on which compensator achieves best speech recognition scores.


Publication typeInproceedings
Published inProceedings of IEEE TENCON 2003, Conference for convergent technologies for Asia-Pacific Region, Bangalore, India
PublisherInstitute of Electrical and Electronics Engineers, Inc.
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