Fundamentals of music processing: using python and jupyter notebooks
Muller, Meinard
Fundamentals of music processing: using python and jupyter notebooks - 2nd - Switzerland Springer 2021 - xxxi, 495 p.
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.
9783030698102
Computer sound processing
Electronic music
Sound--Recording and reproducing--Digital techniques
Fourier analysis
006.4 / MUL
Fundamentals of music processing: using python and jupyter notebooks - 2nd - Switzerland Springer 2021 - xxxi, 495 p.
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.
9783030698102
Computer sound processing
Electronic music
Sound--Recording and reproducing--Digital techniques
Fourier analysis
006.4 / MUL