Computational Music Analysis
This book provides an in-depth introduction and overview of current research in computational music analysis. Its seventeen chapters, written by leading researchers, collectively represent the diversity as well as the technical and philosophical sophistic
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Computational Music Analysis
Computational Music Analysis
David Meredith Editor
Computational Music Analysis
123
Editor David Meredith Department of Architecture, Design and Media Technology Aalborg University Aalborg Denmark
ISBN 978-3-319-25929-1 DOI 10.1007/978-3-319-25931-4
ISBN 978-3-319-25931-4
(eBook)
Library of Congress Control Number: 2015954606 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com)
Preface
The idea of putting together a book on computational music analysis emerged from a discussion that I had with Ronan Nugent (Senior Editor at Springer) at the Fourth International Conference on Mathematics and Computation in Music, held in Montreal in June 2013.1 We talked about the fact that using mathematics and computing to advance our understanding of music (and, indeed, our understanding of how music is understood) would probably be considered a tiny niche area by most. However, those of us who devote our lives to this activity find ourselves split up into even tinier subdisciplines with names like “mathematical music theory”, “computer music”, “systematic musicology”, “music information retrieval”, “computational musicology”, “digital musicology”, “sound and music computing” and “music informatics”. It must be almost incomprehensible to those working outside of the field that such a relatively small research area has become splintered into so many even smaller subdisciplines. What is more remarkable is how little communication and interaction takes place between these subdisciplines and, indeed, how much disagreement can arise when such interaction does occur.2 Ronan and I therefore agreed that the community would benefit from a book that gathered together papers by researchers from as many of these subdisciplines as p
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