This talk will present the basic tools of audio signal analysis for music information retrieval, and discuss the prospects for their useful application in jazz music collections. This work is part of a project led by the Center for Jazz Studies to build a collaborative online resource for information on jazz recordings known as J-DISC. Music Information Retrieval (MIR) is a young field that applies tools from machine learning and signal processing to obtain information about musical items. Despite significant work with pop and classical music, jazz remains almost completely unaddressed by the MIR community. Features like rhythmic/harmonic complexity and improvisational structure mean that jazz poses a set of novel problems to explore in the context of these tools.
Dan Eillis is. Director of the Laboratory for the Recognition and Organization of Speech and Audio. The talk will be moderated by Moderated by Douglas Repetto , Director of Research, Computer Music Center, Columbia University.
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The talk is at 7:30 p.m.