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We describe a tool for generating expressive music performances of monophonic Jazz melodies. The system consists of three components: (a) a melodic transcription component which extracts a set of acoustic features from monophonic recordings, (b) a machine learning component which induce an expressive transformation model from the set of extracted acoustic features, and (c) a melody synthesis component which generates expressive monophonic output (MIDI or audio) from inexpressive melody descriptions using the induced expressive transformation model.
Author (s): Hazan, Amaury;
Ramirez, Rafael;
Affiliation:
Pompeu Fabra University
(See document for exact affiliation information.)
AES Convention: 118
Paper Number:6368
Publication Date:
2005-05-06
Session subject:
Analysis and Synthesis of Sound
DOI:
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Hazan, Amaury; Ramirez, Rafael; 2005; An Approach to Expressive Music Performance Modeling [PDF]; Pompeu Fabra University; Paper 6368; Available from: https://aes.org/publications/elibrary-page/?id=13084
Hazan, Amaury; Ramirez, Rafael; An Approach to Expressive Music Performance Modeling [PDF]; Pompeu Fabra University; Paper 6368; 2005 Available: https://aes.org/publications/elibrary-page/?id=13084
@inproceedings{Hazan2005an,
title={{An Approach to Expressive Music Performance Modeling}},
author={Hazan, Amaury and Ramirez, Rafael},
year={2005},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 6368; AES Convention 118; May 2005},
number={6368},
organization={AES},
}
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