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Improving Access to Digital Music through Content-based Analysis

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This project is a collaboration between MARL and NYU Library Services, concerned with the research and development of content-based approaches to the automatic organization of, access to and interaction with digital music archives.

The research concentrates on: how can we encode musical attributes such as harmony and rhythm using mid-level representations, how can these representations be used to characterize the similarities that exist between songs and phrases, and how can we use these methodologies to provide users with innovative modes of access to music.

This project has the potential to increase the scalability and reduce the cost of music analysis and markup, while increasing access and dissemination of music in the long-tail of existing collections. These potential results can improve current practices in digital libraries, which will see an increase in their ability to preserve and disseminate culture, and empower music education and research.


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Funding

This project is made possible by National Leadership Grant LG-06-08-0073-08 from the U.S. Institute of Museum and Library Services.

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