Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Meinard Müller is professor for Semantic Audio Processing at the International Audio Laboratories Erlangen, Germany, a joint institution of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and the Fraunhofer Institute for Integrated Circuits IIS. His research interests include music processing, music information retrieval, audio signal processing, content-based multimedia, and motion retrieval.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Fundamentals of Music Processing (Paperback)
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Springer Nature Switzerland AG, Cham, 2022
ISBN 10 : 3030698106
ISBN 13 : 9783030698102
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Paperback. Etat : new. Paperback. 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 books goal is to offer detailed technological insights and a deep understanding of music processing applications. As a substantial extension, the textbooks 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 authors institutional web page at the International Audio Laboratories Erlangen. The textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval (MIR). Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783030698102
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Fundamentals of Music Processing: Using Python and Jupyter Notebooks
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Fundamentals of Music Processing
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Springer International Publishing Apr 2022, 2022
ISBN 10 : 3030698106
ISBN 13 : 9783030698102
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - 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 atthe International Audio Laboratories Erlangen. 528 pp. Englisch. N° de réf. du vendeur 9783030698102
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Fundamentals of Music Processing
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ISBN 10 : 3030698106
ISBN 13 : 9783030698102
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. N° de réf. du vendeur 573462391
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Fundamentals of Music Processing: Using Python and Jupyter Notebooks
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Paperback. Etat : Brand New. 2nd edition. 526 pages. 9.25x6.10x1.02 inches. In Stock. N° de réf. du vendeur x-3030698106
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Fundamentals of Music Processing : Using Python and Jupyter Notebooks
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Springer, 2022
ISBN 10 : 3030698106
ISBN 13 : 9783030698102
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Fundamentals of Music Processing
ISBN 10 : 3030698106
ISBN 13 : 9783030698102
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : 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.Asa 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 528 pp. Englisch. N° de réf. du vendeur 9783030698102
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.Asa 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 atthe International Audio Laboratories Erlangen. N° de réf. du vendeur 9783030698102
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Fundamentals of Music Processing | Using Python and Jupyter Notebooks
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Taschenbuch. Etat : 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. N° de réf. du vendeur 121350231
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