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Computational music analysis [electronic resource]

Computational music analysis [electronic resource]

자료유형
E-Book(소장)
개인저자
Meredith, David, 1967-.
서명 / 저자사항
Computational music analysis [electronic resource] / David Meredith, editor.
발행사항
Cham :   Springer International Publishing :   Imprint: Springer,   2016.  
형태사항
1 online resource (xv, 480 p.) : ill. (some col.).
ISBN
9783319259314
요약
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's Generative 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 retrieval and related disciplines. It also provides a state-of-the-art reference for practitioners in the music technology industry.
일반주기
Title from e-Book title page.  
내용주기
Music Analysis by Computer Ontology and Epistemology -- The Harmonic Musical Surface and Two Novel Chord Representation Schemes -- Topological Structures in Computer-Aided Music Analysis -- Contextual Set-Class Analysis -- Computational Analysis of Musical Form -- Chord- and Note-Based Approaches to Voice Separation -- Analysing Symbolic Music with Probabilistic Grammars -- Interactive Melodic Analysis -- Implementing Methods for Analysing Music Based on Lerdahl and Jackendoff’s Generative Theory of Tonal Music -- An Algebraic Approach to Time-Span Reduction -- Automated Motivic Analysis An Exhaustive Approach Based on Closed and Cyclic Pattern Mining in Multidimensional Parametric Spaces -- A Wavelet-Based Approach to Pattern Discovery in Melodies -- Analysing Music with Point-Set Compression Algorithms -- Composer Classification Models for Music-Theory Building -- Contrast Pattern Mining in Folk Music Analysis -- Pattern and Antipattern Discovery in Ethiopian Bagana Songs -- Using Geometric Symbolic Fingerprinting to Discover Distinctive Patterns in Polyphonic Music Corpora -- Index.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Music --Mathematics. Msical analysis.
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020 ▼a 9783319259314
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050 4 ▼a ML3800
082 0 4 ▼a 780.1 ▼2 23
084 ▼a 780.1 ▼2 DDCK
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245 0 0 ▼a Computational music analysis ▼h [electronic resource] / ▼c David Meredith, editor.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2016.
300 ▼a 1 online resource (xv, 480 p.) : ▼b ill. (some col.).
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Music Analysis by Computer Ontology and Epistemology -- The Harmonic Musical Surface and Two Novel Chord Representation Schemes -- Topological Structures in Computer-Aided Music Analysis -- Contextual Set-Class Analysis -- Computational Analysis of Musical Form -- Chord- and Note-Based Approaches to Voice Separation -- Analysing Symbolic Music with Probabilistic Grammars -- Interactive Melodic Analysis -- Implementing Methods for Analysing Music Based on Lerdahl and Jackendoff’s Generative Theory of Tonal Music -- An Algebraic Approach to Time-Span Reduction -- Automated Motivic Analysis An Exhaustive Approach Based on Closed and Cyclic Pattern Mining in Multidimensional Parametric Spaces -- A Wavelet-Based Approach to Pattern Discovery in Melodies -- Analysing Music with Point-Set Compression Algorithms -- Composer Classification Models for Music-Theory Building -- Contrast Pattern Mining in Folk Music Analysis -- Pattern and Antipattern Discovery in Ethiopian Bagana Songs -- Using Geometric Symbolic Fingerprinting to Discover Distinctive Patterns in Polyphonic Music Corpora -- Index.
520 ▼a 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's Generative 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 retrieval and related disciplines. It also provides a state-of-the-art reference for practitioners in the music technology industry.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Music ▼x Mathematics.
650 0 ▼a Msical analysis.
700 1 ▼a Meredith, David, ▼d 1967-.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-25931-4
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 780.1 등록번호 E14020900 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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