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This paper presents an experiment where participants were asked to adjust, while walking, the spectral content and the amplitude of synthetic footstep sounds in order to match the sounds of their own footsteps. The sounds were interactively generated by means of a shoe-based system capable of tracking footfalls and delivering real-time auditory feedback via headphones. Results allowed identification of the mean value and the range of variation of spectral centroid and peak level of footstep sounds simulating various combinations of shoe type and ground material. Results showed that the effect of ground material on centroid and peak level depended on the type of shoe. Similarly, the effect of shoe type on the two variables depended on the type of ground material.