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Fundamentals of Music Processing

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Produktnummer: 18debea1c5229b4f6194392b6be55aa32c
Autor: Müller, Meinard
Themengebiete: Audio Retrieval Fourier Analysis Music Computing Music Retrieval Music Structure Analysis Pattern Recognition Signal Processing Sound Computing
Veröffentlichungsdatum: 29.10.2016
EAN: 9783319357652
Sprache: Englisch
Seitenzahl: 487
Produktart: Kartoniert / Broschiert
Verlag: Springer International Publishing
Untertitel: Audio, Analysis, Algorithms, Applications
Produktinformationen "Fundamentals of Music Processing"
This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology.The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. 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. 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. At the same time, the techniques are directly applied to a specific music processing task. 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. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. 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.
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