AES E-Library

AES E-Library

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

Document Thumbnail

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.

Author:
Affiliation:
AES Conference:
Paper Number:
Publication Date:
Subject:
Permalink: http://www.aes.org/e-lib/browse.cfm?elib=11153

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!


AES - Audio Engineering Society