In this paper we propose a new architecture for speaker recognition. This architecture is independent of the text, robust with the presence of noise, and is based on the Self Organizing Maps (SOM) [1]. 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 [2],[3].
Cite as: Monte, E., Hernando, J., Miró, X., Adolf, A. (1996) Text independent speaker identification on noisy environments by means of self organizing maps. Proc. 4th International Conference on Spoken Language Processing (ICSLP 1996), 1804-1807, doi: 10.21437/ICSLP.1996-458
@inproceedings{monte96_icslp,
author={E. Monte and J. Hernando and X. Miró and A. Adolf},
title={{Text independent speaker identification on noisy environments by means of self organizing maps}},
year=1996,
booktitle={Proc. 4th International Conference on Spoken Language Processing (ICSLP 1996)},
pages={1804--1807},
doi={10.21437/ICSLP.1996-458}
}