TY  - BOOK
AU  - Muller, Meinard
TI  - Fundamentals of music processing: using python and jupyter notebooks
SN  - 9783030698102
U1  - 006.4 
PY  - 2021///
CY  - Switzerland
PB  - Springer
KW  - Computer sound processing
KW  - Electronic music
KW  - Sound--Recording and reproducing--Digital techniques
KW  - Fourier analysis
N2  - About this book
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
ER  -