John Stephen Downie
John Stephen Downie
Associate Dean for Research and Professor of Library and Information Science University of Illinois
Verified email at
Cited by
Cited by
Music information retrieval
JS Downie
Annual review of information science and technology 37 (1), 295-340, 2003
The music information retrieval evaluation exchange (2005–2007): A window into music information retrieval research
JS Downie
Acoustical Science and Technology 29 (4), 247-255, 2008
Survey of music information needs, uses, and seeking behaviours: preliminary findings.
JH Lee, JS Downie
ISMIR 2004 (5), 2004
Lyric text mining in music mood classification
X Hu, JS Downie, AF Ehmann
American music 183 (5,049), 2-209, 2009
The 2007 MIREX audio mood classification task: Lessons learned
X Downie, C Laurier, M Ehmann
Proc. 9th Int. Conf. Music Inf. Retrieval, 462-467, 2008
Design and creation of a large-scale database of structural annotations.
JBL Smith, JA Burgoyne, I Fujinaga, D De Roure, JS Downie
ISMIR 11, 555-560, 2011
Evaluation of algorithms using games: The case of music tagging.
E Law, K West, MI Mandel, M Bay, JS Downie
ISMIR, 387-392, 2009
Evaluating a simple approach to music information retrieval: Conceiving melodic n-grams as text
JS Downie
Faculty of Graduate Studies, University of Western Ontario, 1999
Evaluation of multiple-f0 estimation and tracking systems.
M Bay, AF Ehmann, JS Downie
ISMIR, 315-320, 2009
Improving mood classification in music digital libraries by combining lyrics and audio
X Hu, JS Downie
Proceedings of the 10th annual joint conference on Digital libraries, 159-168, 2010
Exploring Mood Metadata: Relationships with Genre, Artist and Usage Metadata.
X Hu, JS Downie
ISMIR, 67-72, 2007
The 2005 music information retrieval evaluation exchange (mirex 2005): Preliminary overview
JS Downie, K West, A Ehmann, E Vincent
6th int. conf. on music information retrieval (ismir), 320--323, 2005
The music information retrieval evaluation exchange: Some observations and insights
JS Downie, AF Ehmann, M Bay, MC Jones
Advances in music information retrieval, 93-115, 2010
Interdisciplinary communities and research issues in Music Information Retrieval.
J Futrelle, JS Downie
ISMIR 2, 215-221, 2002
When Lyrics Outperform Audio for Music Mood Classification: A Feature Analysis.
X Hu, JS Downie
Ismir, 619-624, 2010
Evaluation of a simple and effective music information retrieval system
JS Downie, M Nelson
Proceedings of ACM SIGIR conference on research and development in …, 2000
How people describe their music information needs: A grounded theory analysis of music queries
D Bainbridge, SJ Cunningham, JS Downie
Johns Hopkins University, 2003
The scientific evaluation of music information retrieval systems: Foundations and future
JS Downie
Computer Music Journal 28 (2), 12-23, 2004
Toward a theory of music information retrieval queries: System design implications
JS Downie, SJ Cunningham
The utilitarian and hedonic outcomes of music information-seeking in everyday life
A Laplante, JS Downie
Library & Information Science Research 33 (3), 202-210, 2011
The system can't perform the operation now. Try again later.
Articles 1–20