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Fundamentals of Music Processing

Audio, Analysis, Algorithms, Applications

  • Meinard Müller

Table of contents

  1. Front Matter
    Pages i-xxix
  2. Meinard Müller
    Pages 1-37
  3. Meinard Müller
    Pages 39-114
  4. Meinard Müller
    Pages 115-166
  5. Meinard Müller
    Pages 167-236
  6. Meinard Müller
    Pages 237-301
  7. Meinard Müller
    Pages 303-353
  8. Meinard Müller
    Pages 355-413
  9. Meinard Müller
    Pages 415-480
  10. Back Matter
    Pages 481-487

About this book

Introduction

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.

Keywords

Audio Retrieval Fourier Analysis Music Computing Music Retrieval Music Structure Analysis Pattern Recognition Signal Processing Sound Computing

Authors and affiliations

  • Meinard Müller
    • 1
  1. 1.International Audio Laboratories ErlangenErlangenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-21945-5
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-21944-8
  • Online ISBN 978-3-319-21945-5
  • Buy this book on publisher's site