Abstract
Evaluating solutions to many music IR problems – such as playlist generation, music similarity – in absence of formal evaluation measures frequently requires user studies to establish the benefits of one solution over the other. Building an according application framework to deploy and test user responses is a cumbersome and complex task. We present Clubmixer - an advanced client-server based audio system that could serve MIR researchers as presentation and prototyping platform. The project aims at providing a software framework that minimizes the effort of creating MIR based solutions. The open architecture and the use of open standards provide high flexibility for several MIR related areas (e.g. content based retrieval, collaborative retrieval, etc.). We describe the current state of the system and outline the main functionality as well as the advantages of Clubmixer for MIR research.
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Schindler, A., Rauber, A. (2011). Clubmixer: A Presentation Platform for MIR Projects. In: Detyniecki, M., Knees, P., Nürnberger, A., Schedl, M., Stober, S. (eds) Adaptive Multimedia Retrieval. Context, Exploration, and Fusion. AMR 2010. Lecture Notes in Computer Science, vol 6817. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27169-4_10
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DOI: https://doi.org/10.1007/978-3-642-27169-4_10
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