![]() ![]() 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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