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11 - Computer Science and Informatics

University of Bristol

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Article title

An end-to-end machine learning system for harmonic analysis of music

Type

D - Journal article

DOI

10.1109/TASL.2012.2188516

Title of journal

IEEE Transactions on Audio, Speech, and Language Processing

Article number

Volume number

Issue number

First page of article

1771

ISSN of journal

1558-7916

Year of publication

2012

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6155600

Number of additional authors

Additional information

<17> The paper presents the HPA chord recognition method. The method has been implemented in software available for non-commercial use, and it achieved the top performance, in its class, in the annual MIREX evaluation for music information retrieval problems in both 2011 and 2012. [MIREX evaluation results website for 2011:

http://nema.lis.illinois.edu/nema_out/mirex2011/results/ace/summary.html

and the websites for 2012 (in 2012 there were 2 evaluations on 2 separate datasets):

http://nema.lis.illinois.edu/nema_out/mirex2012/results/ace/mrx/summary.html

http://nema.lis.illinois.edu/nema_out/mirex2012/results/ace/mcg/summary.html]

Interdisciplinary

Cross-referral requested

Research group

B - Intelligent Systems Laboratory

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract