Probabilistic Self-Organizing Maps for Text-Independent Speaker Identification

Ayoub Bouziane, Jamal Kharroubi, Arsalane Zarghili
2018 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
The present paper introduces a novel speaker modeling technique for text-independent speaker identification using probabilistic self-organizing maps (PbSOMs). The basic motivation behind the introduced technique was to combine the self-organizing quality of the self-organizing maps and generative power of Gaussian mixture models. Experimental results show that the introduced modeling technique using probabilistic selforganizing maps significantly outperforms the traditional technique using the
more » ... echnique using the classical GMMs and the EM algorithm or its deterministic variant. More precisely, a relative accuracy improvement of roughly 39% has been gained, as well as, a much less sensitivity to the model-parameters initialization has been exhibited by using the introduced speaker modeling technique using probabilistic self-organizing maps.
doi:10.12928/telkomnika.v16i1.7559 fatcat:by4vvjtxlrgk3lfyc4ce6wwl6e