Tree-based Gaussian mixture models for speaker verification
Francois Dirk Cilliers · SUNScholar (Stellenbosch University) · 2005
The Gaussian mixture model (GMM) performs very effectively in applications such as speech and speaker recognition. However, evaluation speed is greatly reduced when the GMM has a large number of mixture components. Various techniques improve the evaluation speed by reducing the number of required Gaussian evaluations.