001451756 000__ 04427cam\a2200529\i\4500
001451756 001__ 1451756
001451756 003__ OCoLC
001451756 005__ 20230310004716.0
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001451756 008__ 221208s2022\\\\si\a\\\\ob\\\\001\0\eng\d
001451756 019__ $$a1354206394
001451756 020__ $$a9789811951664$$q(electronic bk.)
001451756 020__ $$a9811951667$$q(electronic bk.)
001451756 020__ $$z9789811951657
001451756 020__ $$z9811951659
001451756 0247_ $$a10.1007/978-981-19-5166-4$$2doi
001451756 035__ $$aSP(OCoLC)1353734093
001451756 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCQ$$dBRX$$dOCLCF$$dUKAHL
001451756 049__ $$aISEA
001451756 050_4 $$aML74
001451756 08204 $$a780.285$$223/eng/20221229
001451756 1001_ $$aHirata, Keiji,$$eauthor.
001451756 24510 $$aMusic, mathematics and language :$$bthe new horizon of computational musicology opened by information science /$$cKeiji Hirata, Satoshi Tojo, Masatoshi Hamanaka.
001451756 264_1 $$aSingapore :$$bSpringer,$$c[2022]
001451756 264_4 $$c©2022
001451756 300__ $$a1 online resource (xiv, 257 pages) :$$billustrations (some color)
001451756 336__ $$atext$$btxt$$2rdacontent
001451756 337__ $$acomputer$$bc$$2rdamedia
001451756 338__ $$aonline resource$$bcr$$2rdacarrier
001451756 504__ $$aIncludes bibliographical references and index.
001451756 5050_ $$aChapter 1: Toward the Machine Computing Semantics of Music -- Chapter 2: Mathematics of Temperament: Principle and Development -- Chapter 3: Music and Natural Language -- Chapter 4: Berklee Method -- Chapter 5: Implication-Realization Model -- Chapter 6: Generative Theory of Tonal Music and Tonal Pitch Space -- Chapter 7: Formalization of GTTM -- Chapter 8: Implementation of GTTM -- Chapter 9: Application of GTTM -- Chapter 10: Epilogue.
001451756 506__ $$aAccess limited to authorized users.
001451756 520__ $$aThis book presents a new approach to computational musicology in which music becomes a computational entity based on human cognition, allowing us to calculate music like numbers. Does music have semantics? Can the meaning of music be revealed using symbols and described using language? The authors seek to answer these questions in order to reveal the essence of music. Chapter 1 addresses a very fundamental point, the meaning of music, while referring to semiotics, gestalt, Schenkerian analysis and cognitive reality. Chapter 2 considers why the 12-tone equal temperament came to be prevalent. This chapter serves as an introduction to the mathematical definition of harmony, which concerns the ratios of frequency in tonic waves. Chapter 3, "Music and Language", explains the fundamentals of grammar theory and the compositionality principle, which states that the semantics of a sentence can be composed in parallel to its syntactic structure. In turn, Chapter 4 explains the most prevalent score notation the Berklee method, which originated at the Berklee School of Music in Boston from a different point of view, namely, symbolic computation based on music theory. Chapters 5 and 6 introduce readers to two important theories, the implication-realization model and generative theory of tonal music (GTTM), and explain the essence of these theories, also from a computational standpoint. The authors seek to reinterpret these theories, aiming at their formalization and implementation on a computer. Chapter 7 presents the outcomes of this attempt, describing the framework that the authors have developed, in which music is formalized and becomes computable. Chapters 8 and 9 are devoted to GTTM analyzers and the applications of GTTM. Lastly, Chapter 10 discusses the future of music in connection with computation and artificial intelligence. This book is intended both for general readers who are interested in music, and scientists whose research focuses on music information processing. In order to make the content as accessible as possible, each chapter is self-contained.
001451756 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 29, 2022).
001451756 650_0 $$aMusic$$xData processing.
001451756 650_0 $$aMusicology.
001451756 655_0 $$aElectronic books.
001451756 7001_ $$aTojo, Satoshi,$$eauthor.
001451756 7001_ $$aHamanaka, Masatoshi,$$eauthor.
001451756 77608 $$iPrint version: $$z9811951659$$z9789811951657$$w(OCoLC)1333080753
001451756 852__ $$bebk
001451756 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-5166-4$$zOnline Access$$91397441.1
001451756 909CO $$ooai:library.usi.edu:1451756$$pGLOBAL_SET
001451756 980__ $$aBIB
001451756 980__ $$aEBOOK
001451756 982__ $$aEbook
001451756 983__ $$aOnline
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