Music Information Retrieval surveys the young but established field
of research that is Music Information Retrieval (MIR). In doing so,
it pays particular attention to the latest developments in MIR,
such as semantic auto-tagging and user-centric retrieval and
recommendation approaches. It starts by reviewing the
well-established and proven methods for feature extraction and
music indexing, from both the audio signal and contextual data
sources about music items, such as web pages or collaborative tags.
These in turn enable a wide variety of music retrieval tasks, such
as semantic music search or music identification ("query by
example""). Subsequently, it elaborates on the current work on user
analysis and modeling in the context of music recommendation and
retrieval, addressing the recent trend towards user-centric and
adaptive approaches and systems. A discussion follows about the
important aspect of how various MIR approaches to different
problems are evaluated and compared. It concludes with a discussion
about the major open challenges facing MIR.
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