Modeling Bill's Gait: Analysis and Parametric Synthesis of Walking Sounds

Cook PR. Modeling Bill's Gait: Analysis and Parametric Synthesis of Walking Sounds. In: AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio. Audio Engineering Society; 2002. Paper 000222. Available from: https://aes.org/publications/elibrary-page/?id=11153

@inproceedings{Cook2002_11153,
  author = {Cook, Perry R.},
  title = {{Modeling Bill's Gait: Analysis and Parametric Synthesis of Walking Sounds}},
  booktitle = {AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio},
  note = {Paper 000222},
  year = {2002},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=11153}
}

TY  - CPAPER
TI  - Modeling Bill's Gait: Analysis and Parametric Synthesis of Walking Sounds
AU  - Cook, Perry R.
T2  - AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio
M1  - Paper 000222
PY  - 2002
DA  - 2002/06/06
UR  - https://aes.org/publications/elibrary-page/?id=11153
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -