8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


Improved Speaker Verification Through Probabilistic Subspace Adaptation

Simon Lucey, Tsuhan Chen

Carnegie Mellon University, USA

In this paper we propose a new adaptation technique for improved text-independent speaker verification with limited amounts of training data using Gaussian mixture models (GMMs). The technique, referred to as probabilistic subspace adaptation (PSA), employs a probabilistic subspace description of how a client's parametric representation (i.e. GMM) is allowed to vary. Our technique is compared to traditional maximum a posteriori (MAP) adaptation, or relevance adaptation (RA), and maximum likelihood eigen-decomposition (MLED), or subspace adaptation (SA) techniques. Results are given on a subset of the XM2VTS databases for the task of text-independent speaker verification.

Full Paper

Bibliographic reference.  Lucey, Simon / Chen, Tsuhan (2003): "Improved speaker verification through probabilistic subspace adaptation", In EUROSPEECH-2003, 2021-2024.