Tree-based Gaussian mixture models for speaker verification

[摘要] The Gaussian mixture model (GMM) performs very effectively in applicationssuch as speech and speaker recognition. However, evaluation speed is greatlyreduced when the GMM has a large number of mixture components. Varioustechniques improve the evaluation speed by reducing the number of requiredGaussian evaluations.

[发布机构] Stellenbosch University