Isbn: 9783030698102 - fundamentals of music processing: using python and jupyter notebooks (5 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 2nd edition. 526 pages. 9.25x6.10x1.02 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - 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) not Elektronisches Buch, which provide additional audio-visual material and Python code examples that implement all computational approaches step by step. Using Jupyter not Elektronisches Buch and open-source web applications, the FMP not Elektronisches Buch 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 not Elektronisches Buch are available from the author s institutional web page at the International Audio Laboratories Erlangen. …

Taschenbuch. Zustand: Neu. Fundamentals of Music Processing | Using Python and Jupyter Notebooks | Meinard Müller | Taschenbuch | xxxi | Englisch | 2022 | Springer | EAN 9783030698102 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Neuware -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 transformconcepts used throughout the book. Each of the subsequent chapters starts with a general description of a concrete music processing task and then discussesin a mathematically rigorous wayessential 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) not Elektronisches Buch, which provide additional audio-visual material and Python code examples that implement all computational approaches step by step. Using Jupyter not Elektronisches Buch and open-source web applications, the FMP not Elektronisches Buch 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 not Elektronisches Buch are available from the author's institutional web page at the International Audio Laboratories Erlangen. 528 pp. Englisch. …