Voice signal processing with the purpose of recognizing the person speaking is a very interesting problem in the area of security that can be solved based on biometric techniques. This paper presents a new method, Prob-SOM, to obtain a model that allows recognizing speakers based on their voice, independently of the text used. The model is built from adapted dynamic self-organizing maps to suitably represent the Cepstral coefficients of the corresponding audio signals. Speakers are recognized by means of a probabilistic system. Testing was done both with synthetic and real voices. The results obtained have been better than those obtained with other existing methods.