MIREX Impact Statements

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Revision as of 16:01, 9 May 2011 by Evincent (talk | contribs) (Impact Statements)

Introduction

Dear MIR Community:

We are gathering evidence of impact for MIREX. We would appreciate it greatly if you would post comments about how MIREX has impacted or influenced your work directly or MIR research in general.

In a similar vein, we are also gathering citations to MIREX-related papers as further evidence of impact for MIREX on the MIREX Impact Citations page.

We are collecting these statements and citations as evidence influence and success to submit to funding agencies, research administrators and/or future collaborators.

Thank you very much.

J. Stephen Downie
Director, IMIRSEL

Impact Statements

I am a researcher in audio signal processing. Although music information retrieval is not my main focus, I have been following the MIREX campaigns from the very beginning as one of the most exciting initiatives in the field. What makes MIREX unique is the attention made to the specification of the datasets and the evaluation procedures by the entrants themselves. I soon realized that this is the best way to attract a large number of entrants and evaluate tasks that people really care about. Inspired by this view, I founded an annual evaluation campaign relating to my main focus (audio source separation), which has attracted more than 80 entrants in total and changed the view of the problem. See E. Vincent, S. Araki et al., "The Signal Separation Evaluation Campaign (2007-2010): Achievements and Remaining Challenges", Technical Report no. RR-7581, INRIA, 2011 [1]. The funding application made by IMIRSEL aims to explore business models for MIREX and result in the creation of a sustainable MIREX model. This issue is also crucial for SiSEC and other medium-scale campaigns which cannot benefit from a large-scale organization such as TREC. IMIRSEL has already paved the way via their online DIY-system. I have no doubt that the provided funding will enable them to provide a conclusive answer this issue, which will be mostly reusable in SiSEC and other campaigns. Emmanuel Vincent, Research Scientist, INRIA, France.