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This book gives a balanced, coherent overview of current computational approaches to music analysis. It includes chapters by leading researchers that, collectively, give an exciting picture of the diversity and depth of the field. The approaches represented include methods of analysis based on information theory, geometric pattern matching, wavelets, string algorithmics and statistical learning. Methods are described based on a variety of well-established theories of musical structure and music perception.§