High Performance Cultural Computing: Large-Scale Music Audio Analyses, by Stephen Downie

Thursday, november the 25th, 10 am.
Télécom ParisTech (Dareau)
Room: DA-006 (Vitrine de la recherche)
Author: Stephen Downie

The application of high performance computing (HPC) technologies in the arts and humanities represents a small but growing area of research activity. The recent awarding of eight multinational “Digging Into Data (DID) Challenge”  project grants reflects the growing importance of HPC to help cultural scholars ask and answer new kinds of questions. This talk will introduce one of the DID awardees, the “Structural Analysis of Large Amounts of Music Information”  (SALAMI) project. The talk will contextualize the SALAMI project within the broader frameworks of the ongoing “Networked Environment for Music Analysis” (NEMA) and the “Music Information Retrieval Evaluation eXchange” (MIREX) projects. The motivations, goals and developments of these three projects are presented to help illustrate the kinds of questions being explored by music informatics scholars and the roles that HPC, semantic web and Linked Data tools can play answering those questions.

J. Stephen Downie is an Associate Professor at the Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign (UIUC). He is Director of the International Music Information Retrieval Systems  Evaluation Laboratory (IMIRSEL). He is Principal Investigator on the Networked Environment for Music Analysis (NEMA) project . He has been very active in the establishment of the Music Information Retrieval (MIR) community through his ongoing work with the International Society for Music Information Retrieval (ISMIR) conferences and now serves as ISMIR’s President. He holds a BA (Music Theory and Composition) along with a Master’s and a PhD in Library and Information Science, all earned at the University of Western Ontario, London, Canada.

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