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Fundamentals of music processing[electronic resource] :audio, analysis, algorithms, applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.4
書名/作者:	Fundamentals of music processing : audio, analysis, algorithms, applications // by Meinard Muller.
作者:	Muller, Meinard.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xxix, 487 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Computer sound processing
標題:	Sound - Handbooks, manuals, etc. - Recording and reproducing
標題:	Electronic music - Handbooks, manuals, etc.
標題:	Computer Science.
標題:	Pattern Recognition.
標題:	Signal, Image and Speech Processing.
標題:	Information Storage and Retrieval.
標題:	Fourier Analysis.
標題:	Computer Appl. in Arts and Humanities.
標題:	Music.
ISBN:	9783319219455 (electronic bk.)
ISBN:	9783319219448 (paper)
內容註:	1 Music Representations -- 2 Fourier Analysis of Signals -- 3 Music Synchronization -- 4 Music Structure Analysis -- 5 Chord Recognition -- 6 Tempo and Beat Tracking -- 7 Content-Based Audio Retrieval -- 8 Musically Informed Audio Decomposition.
摘要、提要註:	This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform--concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. Each of these chapters is organized in a similar fashion and starts with a general description of the music processing scenario at hand before integrating it into a wider context. It then discusses--in a mathematically rigorous way--important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems. At the same time, the techniques are directly applied to a specific music processing task. By mixing theory and practice, the book's goal is to offer detailed technological insights as well as a deep understanding of music processing applications. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. Accordingly, selected chapters or individual sections can easily be integrated into courses on general multimedia, information science, signal processing, music informatics, or the digital humanities.
電子資源:	http://dx.doi.org/10.1007/978-3-319-21945-5

Fundamentals of music processing[electronic resource] :audio, analysis, algorithms, applications /
Muller, Meinard.

Fundamentals of music processingaudio, analysis, algorithms, applications /[electronic resource] :by Meinard Muller. - Cham :Springer International Publishing :2015. - xxix, 487 p. :ill., digital ;24 cm.

1 Music Representations -- 2 Fourier Analysis of Signals -- 3 Music Synchronization -- 4 Music Structure Analysis -- 5 Chord Recognition -- 6 Tempo and Beat Tracking -- 7 Content-Based Audio Retrieval -- 8 Musically Informed Audio Decomposition.

This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform--concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. Each of these chapters is organized in a similar fashion and starts with a general description of the music processing scenario at hand before integrating it into a wider context. It then discusses--in a mathematically rigorous way--important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems. At the same time, the techniques are directly applied to a specific music processing task. By mixing theory and practice, the book's goal is to offer detailed technological insights as well as a deep understanding of music processing applications. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. Accordingly, selected chapters or individual sections can easily be integrated into courses on general multimedia, information science, signal processing, music informatics, or the digital humanities.

ISBN: 9783319219455 (electronic bk.)

Standard No.: 10.1007/978-3-319-21945-5doiSubjects--Topical Terms:

154927
Computer sound processing

LC Class. No.: TK7882.P3 / M85 2015

Dewey Class. No.: 006.4

Fundamentals of music processing[electronic resource] :audio, analysis, algorithms, applications /
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520 $a This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform--concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. Each of these chapters is organized in a similar fashion and starts with a general description of the music processing scenario at hand before integrating it into a wider context. It then discusses--in a mathematically rigorous way--important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems. At the same time, the techniques are directly applied to a specific music processing task. By mixing theory and practice, the book's goal is to offer detailed technological insights as well as a deep understanding of music processing applications. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. Accordingly, selected chapters or individual sections can easily be integrated into courses on general multimedia, information science, signal processing, music informatics, or the digital humanities.
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