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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.
Author (s): Van Nort, Doug;
Braasch, Jonas;
Oliveros, Pauline;
Affiliation:
Rensselaer Polytechnic Institute, Troy, NY, USA
(See document for exact affiliation information.)
AES Convention: 129
Paper Number:8251
Publication Date:
2010-11-06
Session subject:
Signal Analysis and Synthesis
DOI:
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Van Nort, Doug; Braasch, Jonas; Oliveros, Pauline; 2010; Sound Texture Analysis Based on a Dynamical Systems Model and Empirical Mode Decomposition [PDF]; Rensselaer Polytechnic Institute, Troy, NY, USA; Paper 8251; Available from: https://aes.org/publications/elibrary-page/?id=15673
Van Nort, Doug; Braasch, Jonas; Oliveros, Pauline; Sound Texture Analysis Based on a Dynamical Systems Model and Empirical Mode Decomposition [PDF]; Rensselaer Polytechnic Institute, Troy, NY, USA; Paper 8251; 2010 Available: https://aes.org/publications/elibrary-page/?id=15673
@inproceedings{Van2010sound,
title={{Sound Texture Analysis Based on a Dynamical Systems Model and Empirical Mode Decomposition}},
author={Van Nort, Doug and Braasch, Jonas and Oliveros, Pauline},
year={2010},
month={nov},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 8251; AES Convention 129; November 2010},
number={8251},
organization={AES},
}
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