000			01670nam a22002297a 4500
999			_c2628 _d2628
005			20220813105106.0
008			220716b ||||| |||| 00| 0 eng d
020			_a9783030698102
082			_a006.4 _bMUL
100			_aMuller, Meinard _96516
245			_aFundamentals of music processing: using python and jupyter notebooks
250			_a2nd
260			_bSpringer _aSwitzerland _c2021
300			_axxxi, 495 p.
365			_aEURO _b89.99
520			_aAbout 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.
650			_aComputer sound processing _97627
650			_aElectronic music _97628
650			_aSound--Recording and reproducing--Digital techniques _97629
650			_aFourier analysis _97630
942			_2ddc _cBK