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We describe a method to automatically extract a set of features from the audio signal that are related to musical expressivity, more concretely to dynamics and articulation. We define a description scheme based on intra-note segmentation into attack, sustain, release and transition segments, and a subsequent amplitude and pitch contour characterization. Saxophone jazz standards performance recordings are analyzed, in order to obtain an expressivity model in terms of amplitude and pitch. The description scheme is presented, as well as the algorithms to automatically perform intra-note segmentation and feature extraction scheme. We evaluate the performance of the algorithms for both intra-note segmentation and feature extraction and propose some future work and applications.
Author (s): Gomez, Emilia;
Maestre, Esteban;
Affiliation:
Universitat Pompeu Fabra
(See document for exact affiliation information.)
AES Convention: 118
Paper Number:6364
Publication Date:
2005-05-06
Session subject:
Analysis and Synthesis of Sound
DOI:
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Gomez, Emilia; Maestre, Esteban; 2005; Automatic Characterization of Dynamics and Articulation of Expressive Monophone Recordings [PDF]; Universitat Pompeu Fabra; Paper 6364; Available from: https://aes.org/publications/elibrary-page/?id=13080
Gomez, Emilia; Maestre, Esteban; Automatic Characterization of Dynamics and Articulation of Expressive Monophone Recordings [PDF]; Universitat Pompeu Fabra; Paper 6364; 2005 Available: https://aes.org/publications/elibrary-page/?id=13080
@inproceedings{Gomez2005automatic,
title={{Automatic Characterization of Dynamics and Articulation of Expressive Monophone Recordings}},
author={Gomez, Emilia and Maestre, Esteban},
year={2005},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 6364; AES Convention 118; May 2005},
number={6364},
organization={AES},
}
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