This volume covers a wide range of approaches to fundamental questions about music, such as: What is similarity in music? How do we recognize it? How can we program computers to recognize it? Topics include concepts and procedures, tools and applications, human melodic judgments, and online tools for melodic searching. The contributors draw on theoretical approaches and practical results from computer science and network models, folk-music archives and bibliographical collaborations, algorithmic composition, classical-music history, ethnomusicology and social psychology, and case law in claims of popular music plagiarism.
David Bainbridge, David Cope, Tim Crawford, Charles Cronin, Ewa Dahlig, Dominik Hörnel, John Howard, Costas S. Iliopoulos, Andreas Kornstädt, Rodger J. McNab, Nigel Nettheim, Donncha Ó Maidín, Rajeev Raman, Helmut Schaffrath, Eleanor Selfridge-Field, Lloyd A. Smith, Ian H. Witten, Masato Yako.
Computing in Musicology 11
About the Editors
Walter B. Hewlett is Professor of Music at Stanford University.
Eleanor Selfridge-Field is Professor of Music and Symbolic Systems at Stanford University and a Senior Research Associate at the Center for Computer Assisted Research in the Humanities.