J
J. Stephen Downie
Researcher at University of Illinois at Urbana–Champaign
Publications - 173
Citations - 4364
J. Stephen Downie is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Music information retrieval & Digital library. The author has an hindex of 30, co-authored 164 publications receiving 4135 citations. Previous affiliations of J. Stephen Downie include University of Western Ontario & National Center for Supercomputing Applications.
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Proceedings Article
How significant is statistically significant? The case of audio music similarity and retrieval
TL;DR: It is shown that indicators of statistical significance are eventually of secondary importance and researchers who want to predict the realworld implications of formal evaluations should properly report upon practical significance (i.e., large effect-size) rather than reaching statistical significance in the evaluation results.
Proceedings Article
K-pop genres: a cross-cultural exploration
TL;DR: Examining K-pop music genres used in Korea and comparing them with genres using in North America attempts to fill gaps in understanding and provides some insights into challenges developers may face in creating global music services.
Proceedings ArticleDOI
The Networked Environment for Music Analysis (NEMA)
TL;DR: The NEMA project aims to provide the MIR field with a high quality, secure and extensible workflow environment to facilitate: computation over remote audio and resource collections; optimal code reuse, interoperability between data formats and types, sharing and dissemination; standardised, high-quality evaluation procedures.
Proceedings Article
Exploiting recommended usage metadata: Exploratory analyses
TL;DR: It is concluded that further investigation of user-recommended usage metadata is warranted, especially with regard to its implications for future iterations of the Music Information Retrieval Evaluation eXchange (MIREX).
Journal ArticleDOI
The MIREX grand challenge: A framework of holistic user-experience evaluation in music information retrieval
TL;DR: This article describes the first implementation of a holistic user‐experience evaluation in MIR, the MIREX Grand Challenge, where complete MIR systems are evaluated, with user experience being the single overarching goal.