Fundamentals of music processing : using Python and Jupyter notebooks / Meinard Müller.
Müller, Meinard, author.
2021
TK7882.P3
Available Online

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Title Fundamentals of music processing : using Python and Jupyter notebooks / Meinard Müller.
Author Müller, Meinard, author.
Edition Second edition.
ISBN 9783030698089 (electronic bk.)
3030698084 (electronic bk.)
9783030698072
3030698076
DOI https://doi.org/10.1007/978-3-030-69808-9
Published Cham : Springer, [2021]
Language English
Description 1 online resource : illustrations (some color)
Item Number 10.1007/978-3-030-69808-9 doi
Call Number TK7882.P3
Dewey Decimal Classification 006.4
Summary The textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval (MIR). Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, signal processing, computer science, digital humanities, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform concepts used throughout the book. Each of the subsequent chapters starts with a general description of a concrete music processing task and then discusses in a mathematically rigorous way essential techniques and algorithms applicable to a wide range of analysis, classification, and retrieval problems. By mixing theory and practice, the book's goal is to offer detailed technological insights and a deep understanding of music processing applications. As a substantial extension, the textbook's second edition introduces the FMP (fundamentals of music processing) notebooks, which provide additional audio-visual material and Python code examples that implement all computational approaches step by step. Using Jupyter notebooks and open-source web applications, the FMP notebooks yield an interactive framework that allows students to experiment with their music examples, explore the effect of parameter settings, and understand the computed results by suitable visualizations and sonifications. The FMP notebooks are available from the author's institutional web page at the International Audio Laboratories Erlangen.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 15, 2021).
Available in Other Form Print version: 9783030698072
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Record Appears in Online Resources > Ebooks
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1. Music Representations
2. Fourier Analysis of Signals
3. Music Synchronization
4. Music Structure Analysis
5. Chord Recognition
6. Tempo and Beat Tracking
7. Content-Based Audio Retrieval
8. Musically Informed Audio Decomposition.

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