This paper presents algorithms and systems for automatic analysis and parametric synthesis of walking sounds. A recording of walking is analyzed, extracting the gait (tempo and left/right asymmetries), heel-toe events, etc. Linear prediction is used to extract the basic resonances. Wavelet decomposition is performed, and a high frequency-subband is used to calculate particle statistics to calibrate a particle resynthesis model. Control envelopes are extracted from the original sound. A real-time synthesis program allows flexible resynthesis of walking sounds of any length, controlled by a score extracted from a sound file, a graphical user interface, or parameters from game/animation/VR data. Results for the analysis algorithm are presented for hand-crafted experimental sounds of gravel.
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