Particle swarm optimization for sorted adapted Gaussian mixture models
IEEE Transactions on Audio, Speech, and Language Processing
Support vector machine based speaker identification systems using GMM parameters
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
A speaker recognition based approach for identifying voice spammer
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
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Techniques for efficient speaker recognition are presented. These techniques are based on approximating Gaussian mixture modeling (GMM) likelihood scoring using approximated cross entropy (ACE). Gaussian mixture modeling is used for representing both training and test sessions and is shown to perform speaker recognition and retrieval extremely efficiently without any notable degradation in accuracy compared to classic GMM-based recognition. In addition, a GMM compression algorithm is presented. This algorithm decreases considerably the storage needed for speaker retrieval.