| 000 | 04830nam a22006255i 4500 | ||
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| 001 | 978-981-19-5166-4 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125243.0 | ||
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| 008 | 221205s2022 si | s |||| 0|eng d | ||
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_a10.1007/978-981-19-5166-4 _2doi |
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| 050 | 4 | _aTA347.A78 | |
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_a006.3 _223 |
| 100 | 1 |
_aHirata, Keiji. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aMusic, Mathematics and Language _h[electronic resource] : _bThe New Horizon of Computational Musicology Opened by Information Science / _cby Keiji Hirata, Satoshi Tojo, Masatoshi Hamanaka. |
| 250 | _a1st ed. 2022. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2022. |
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| 300 |
_aXIV, 257 p. 149 illus., 29 illus. in color. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 505 | 0 | _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. | |
| 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 mostprevalent 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. | ||
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 |
_aMusic _xMathematics. |
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| 650 | 0 | _aComputational linguistics. | |
| 650 | 0 |
_aMusic _xPhilosophy and aesthetics. |
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| 650 | 0 | _aSemiotics. | |
| 650 | 0 | _aMathematical logic. | |
| 650 | 1 | 4 | _aArtificial Intelligence. |
| 650 | 2 | 4 | _aMathematics in Music. |
| 650 | 2 | 4 | _aComputational Linguistics. |
| 650 | 2 | 4 | _aPhilosophy of Music. |
| 650 | 2 | 4 | _aSemiotics. |
| 650 | 2 | 4 | _aMathematical Logic and Foundations. |
| 700 | 1 |
_aTojo, Satoshi. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 700 | 1 |
_aHamanaka, Masatoshi. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811951657 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811951671 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811951688 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-19-5166-4 |
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| 912 | _aZDB-2-SXCS | ||
| 942 | _cSPRINGER | ||
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