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ISMIR2008_179.pdf 13-Sep-2009 17:50 237K
reference.txt 13-Sep-2009 17:52 424
This directory contains the PDF file for the paper titled
"Evaluating and Visualizing Effectiveness of Style Emulation in Musical Accompaniment"
by Ching-Hua Chuan and Elaine Chew
The paper was presented at the
Ninth International Conference on Music Information Retrieval
Philadelphia, Pennsylvania. September 14-18, 2008.
The paper was published in the
Proceedings of the 9th ISMIR Conference
The conference website is at
http://ismir2008.ismir.net
THE COMPLETE PAPER, text with figures, can be viewed as a PDF document.
Click on ISMIR2008_179.pdf if you wish to view the paper.
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"Evaluating and Visualizing Effectiveness of Style Emulation in Musical Accompaniment"
by Ching-Hua Chuan and Elaine Chew
ABSTRACT: We propose general quantitative methods for evaluating and
visualizing the results of machine-generated style-specific
accompaniment. The evaluation of automated accompaniment systems, and
the degree to which they emulate a style, has been based primarily on
subjective opinion. To quantify style similarity between
machine-generated and original accompaniments, we propose two types of
measures: one based on transformations in the neo-Riemannian chord
space, and another based on the distribution ofmelody-chord
intervals. The first set of experiments demonstrate the methods on an
automatic style-specific accompaniment (ASSA) system. They test the
effect of training data choice on style emulation effectiveness, and
challenge the assumption that more data is better. The second set of
experiments compare the output of the ASSA system with those of a
rule-based system, and random chord generator. While the examples
focus primarily on machine emulation of Pop/Rock accompaniment, the
methods generalize to music of other genres.