Modeling Bill's Gait: Analysis and Parametric Synthesis of Walking Sounds
Perry R. Cook · 2002
This paper presents algorithms and systems for automatic analysis and parametric synthesis of walking and other (gesture-rate) periodically modulated noisy 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 statistics for a particle resynthesis model. Control envelopes are extracted from the original sound. A real-time synthesis program allows flexible resynthesis of walking sounds, 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 synthesisized data, and for hand-crafted real experimental sounds of gravel.