This paper is related to dysphonic voice assessment. It aims at characterizing dysphonia in the frequency domain. In this context, a GMM-based automatic classification system is coupled with a frequency subband architecture in order to investigate which frequency bands are relevant for dysphonia characterization. Through various experiments, the low frequencies [0-3000]Hz tend to be more interesting for dysphonia discrimination compared with higher frequencies.