D. Van Nort, J. Braasch, and P. Oliveros, “Sound Texture Analysis Based on a Dynamical Systems Model and Empirical Mode Decomposition,” in Proc. AES Convention 129, Nov. 2010, Paper 8251. [Online]. Available: https://aes.org/publications/elibrary-page/?id=15673
Van Nort D, Braasch J, Oliveros P. Sound Texture Analysis Based on a Dynamical Systems Model and Empirical Mode Decomposition. In: AES Convention 129. Audio Engineering Society; 2010. Paper 8251. Available from: https://aes.org/publications/elibrary-page/?id=15673
@inproceedings{VanNort2010_15673,
author = {Van Nort, Doug and Braasch, Jonas and Oliveros, Pauline},
title = {{Sound Texture Analysis Based on a Dynamical Systems Model and Empirical Mode Decomposition}},
booktitle = {AES Convention 129},
note = {Paper 8251},
year = {2010},
month = nov,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=15673}
}
TY - CPAPER
TI - Sound Texture Analysis Based on a Dynamical Systems Model and Empirical Mode Decomposition
AU - Van Nort, Doug
AU - Braasch, Jonas
AU - Oliveros, Pauline
T2 - AES Convention 129
M1 - Paper 8251
PY - 2010
DA - 2010/11/06
UR - https://aes.org/publications/elibrary-page/?id=15673
PB - Audio Engineering Society
LA - en
AB - This paper describes a system for separating a musical stream into sections having different textural qualities. This system translates several contemporary approaches to video texture analysis, creating a novel approach in the realm of audio and music. We first represent the signal as a set of mode functions by way of the Empirical Mode Decomposition (EMD) technique for time/frequency analysis, before expressing the dynamics of these modes as a linear dynamical system (LDS). We utilize both linear and nonlinear techniques in order to learn the system dynamics, which leads to a successful separation of the audio in time and frequency.
ER -