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Language: English
Published by LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838320913 ISBN 13: 9783838320915
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Taschenbuch. Condition: Neu. A Computational Framework for Sound Segregation in Music Signals | An Auditory Scene Analysis Approach for Modeling Perceptual Grouping in Music Listening | Luís Gustavo Martins | Taschenbuch | 248 S. | Englisch | 2009 | LAP LAMBERT Academic Publishing | EAN 9783838320915 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Condition: New. pp. 495 Softcover reprint of the original 1st ed. 2016 edition NO-PA16APR2015-KAP.
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Taschenbuch. Condition: Neu. Computational Music Analysis | David Meredith | Taschenbuch | xv | Englisch | 2016 | Springer | EAN 9783319387444 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer International Publishing, Springer International Publishing, 2016
ISBN 10: 3319387448 ISBN 13: 9783319387444
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an in-depth introduction and overview of current research in computational music analysis. Its seventeen chapters, written by leading researchers, collectively represent the diversity as well as the technical and philosophical sophistication of the work being done today in this intensely interdisciplinary field. A broad range of approaches are presented, employing techniques originating in disciplines such as linguistics, information theory, information retrieval, pattern recognition, machine learning, topology, algebra and signal processing. Many of the methods described draw on well-established theories in music theory and analysis, such as Forte's pitch-class set theory, Schenkerian analysis, the methods of semiotic analysis developed by Ruwet and Nattiez, and Lerdahl and Jackendoff'sGenerative Theory of Tonal Music.The book is divided into six parts, covering methodological issues, harmonic and pitch-class set analysis, form and voice-separation, grammars and hierarchical reduction, motivic analysis and pattern discovery and, finally, classification and the discovery of distinctive patterns.As a detailed and up-to-date picture of current research in computational music analysis, the book provides an invaluable resource for researchers, teachers and students in music theory and analysis, computer science, music information retrievaland related disciplines. It also provides a state-of-the-art reference for practitioners in the music technology industry.
Language: English
Published by Springer International Publishing, Springer International Publishing, 2015
ISBN 10: 3319259296 ISBN 13: 9783319259291
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an in-depth introduction and overview of current research in computational music analysis. Its seventeen chapters, written by leading researchers, collectively represent the diversity as well as the technical and philosophical sophistication of the work being done today in this intensely interdisciplinary field. A broad range of approaches are presented, employing techniques originating in disciplines such as linguistics, information theory, information retrieval, pattern recognition, machine learning, topology, algebra and signal processing. Many of the methods described draw on well-established theories in music theory and analysis, such as Forte's pitch-class set theory, Schenkerian analysis, the methods of semiotic analysis developed by Ruwet and Nattiez, and Lerdahl and Jackendoff'sGenerative Theory of Tonal Music.The book is divided into six parts, covering methodological issues, harmonic and pitch-class set analysis, form and voice-separation, grammars and hierarchical reduction, motivic analysis and pattern discovery and, finally, classification and the discovery of distinctive patterns.As a detailed and up-to-date picture of current research in computational music analysis, the book provides an invaluable resource for researchers, teachers and students in music theory and analysis, computer science, music information retrievaland related disciplines. It also provides a state-of-the-art reference for practitioners in the music technology industry.
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