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Books > Computing & IT > Applications of computing > Signal processing
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Fundamentals of Music Processing - Audio, Analysis, Algorithms, Applications (Paperback, Softcover reprint of the original 1st ed. 2015)
Loot Price: R3,331
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Fundamentals of Music Processing - Audio, Analysis, Algorithms, Applications (Paperback, Softcover reprint of the original 1st ed. 2015)
Expected to ship within 10 - 15 working days
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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.
General
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