“This is a superb textbook for students in music processing and music information retrieval (MIR). It’s a must-have.” (Mark Sandler, Director of the Centre for Digital Music (C4DM) and Director of the EPSRC/AHRC CDT in media and arts technology (MAT), Queen Mary University of London, UK) The result is a carefully constructed text built on secure theoretical foundations. … Müller has thought deeply about a subject he clearly cares about greatly. Too late however, Müller just wrote it – and way better than I ever would have. If I were to write a book, this would be it. In fact, I would say this will become a required bookshelf companion for every MIR researcher in the world. Müller is meticulous in the way he has constructed this text book, and it is clear that it will serve both higher level taught students, like those on masters programmes, as well as researchers of all levels. “This is a massively impressive piece of work. I enjoyed reading this book.” (Soubhik Chakraborty, Computing Reviews, March, 2016) Those with engineering backgrounds will find it easier to grasp. It is also suitable for musicologists and researchers in music. … The book may be used as a textbook at the postgraduate or advanced undergraduate levels in computational music science. “If you are looking for a sound textbook in music analysis and music information retrieval, I would recommend this one. … this is a very impressive book, and an excellent course in music processing.” (Don Knox, Musicae Scientiae, Vol. … Müller introduces the reader to analysis and processing techniques, algorithms and key underpinning theoretical concepts within the context of applied music analysis and processing tasks. “The book … covers a range of important and popular music processing topics, and strikes a balance between providing succinct and informative background theory and discussing applied examples in the context of real-world problem-solving. Accordingly, selected chapters or individual sections can easily be integrated into courses on general multimedia, information science, signal processing, music informatics, or the digital humanities. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. By mixing theory and practice, the book’s goal is to offer detailed technological insights as well as a deep understanding of music processing applications. At the same time, the techniques are directly applied to a specific music processing task. It then discusses-in a mathematically rigorous way-important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems. Each of these chapters is organized in a similar fashion and starts with a general description of the music processing scenario at hand before integrating it into a wider context. In the subsequent chapters, concrete music processing tasks serve as a starting point. The first two cover foundations of music representations and the Fourier transform-concepts that are then used throughout the book. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology.
This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval.
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