Speaker identification using hybrid KarhunenLoeve transform and Gaussian mixture model approach
This paper proposes a classification scheme that incorporates KarhunenLoeve transform (KLT) and Gaussian mixture model (GMM) for text-independent speaker identification. Our results show that the combination is beneficial to both classification accuracy and computational cost. For a database with 500 Mandarin speakers, it is demonstrated that accuracy improvement of up to 4% and computational cost saving of 10 times compared to those of the conventional GMM model can be achieved.
speaker identification karhunenloeve transform gaussian mixture models bhattacharyya distance mel frequency cepstral coefficients