Representation and Synthesis of Melodic Expression
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 1475-1479.
Abstract
A method for expressive melody synthesis is presented seeking to capture the prosodic (stress and directional) element of musical interpretation. An expressive performance is represented as a note-level annotation, classifying each note according to a small alphabet of symbols describing the role of the note within a larger context. An audio performance of the melody is represented in terms of two time-varying functions describing the evolving frequency and intensity. A method is presented that transforms the expressive annotation into the frequency and intensity functions, thus giving the audio performance. The problem of expressive rendering is then cast as estimation of the most likely sequence of hidden variables corresponding to the prosodic annotation. Examples are presented on a dataset of around 50 folk-like melodies, realized both from hand-marked and estimated annotations.Christopher Raphael
@inproceedings{ijcai2009p247,
title = {Representation and Synthesis of Melodic Expression},
author = {Raphael, Christopher},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {1475--1479},
year = {2009},
url = {https://ijcai.org/proceedings/2009/247},
}
TY - CPAPER TI - Representation and Synthesis of Melodic Expression AU - Raphael, Christopher T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 1475 EP - 1479 UR - https://ijcai.org/proceedings/2009/247 ER -Copied
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