Abstract. Audition and touch endow spectral processing abilities allowing texture recognition and discrimination. Rat whiskers sensorisystem exhibits, as the cochlea, resonance property decomposing the signal over frequencies. Moreover, there exists strong psychophysical and biological interactions between auditory and somatosensory cortex concerning texture analysis. Inspired by these similarities, this paper proposed a supramodal vibrissa tactile and auditory model for texture recognition. We introduce a resonant filterbank based whiskers array model adapted from a gammatone cochlear model. As feature extractor, we use an algorithm inspired by data recorded in the rats barrel cortex. Results clearly show the ability of the model for texture recognition in auditory and tactile tuning. Moreover, recent studies suggest that this resonance property play a role in texture discrimination. Experiments presented here provide elements in the direction of this resonance hypothesis.