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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

Queen Mary University of London : A - Electrical and Electronic engineering

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Output 28 of 60 in the submission

Article title

Generating and Evaluating Musical Harmonizations That Emulate Style

Type

D - Journal article

DOI

10.1162/COMJ_a_00091

Title of journal

Computer Music Journal

Article number

Volume number

Issue number

First page of article

ISSN of journal

0148-9267

Year of publication

2011

URL

http://www.mitpressjournals.org/doi/abs/10.1162/COMJ_a_00091

Number of additional authors

Additional information

Novel framework combined statistical learning and music-theoretic approach to learn harmonization style from sparse input, and provided quantitative evaluation. Raised issue: why less data may be better for style specificity. Resulting harmonisations less generic than Microsoft's MySong. Led to student winning 2010 Grace Hopper Best New Investigator Paper Award. Generated press (Wired, Telegraph, MSNBC, USA Today, Fox News) and coverage in IEEE Intelligent Systems. Culmination of highly cited 'Hybrid System for Automatic Generation of Style-Specific Accompaniment' (Computational Creativity Workshop), 'Evaluating Style-Emulation Effectiveness', 'Interactive Decision-Support Tool' (International Conference on Music Information Retrieval). CMJ (MIT Press) is leading journal in computer music.

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract