Text independent speaker identification on noisy environments by means of self organizing maps

We propose an architecture for speaker recognition. This architecture is independent of the text, robust with the presence of noise, and is based on self organizing maps (SOM) (T. Kohonen, 1984). We compare the performance of this architecture for different parametrizations, different signal to noise ratios, with another method for speaker identification based on the arithmetic harmonic spherity measure on covariance matrices (F. Bimbot and L. Mathan, 1993; J. Hernando et al., 1994).