Concerned with pathological voice assessment, this paper aims at characterizing dysphonia in the frequency domain for a better understanding of related phenomena while most of the studies have focused only on improving classification systems for diagnosis help purposes. Based on a first study which demonstrates that the low frequencies ([0-3000]Hz) are more relevant for dysphonia discrimination compared with higher frequencies, the authors propose in this paper to pursue by analyzing the impact of the restricted frequency subband ([0-3000]Hz) on the dysphonic voice discrimination from a phonetical point of view. In this sense, performance of the GMM-based automatic dysphonic voice classification system is measured according to different phoneme classes and frequency bands ([0-3000] and [0-8000]Hz).