LEADER 01165nam a2200289 i 4500 001 991001997749707536 005 20250416135148.0 008 000426s1995 it er 001 0 ita 020 $a8880661280 035 $ab10944163-39ule_inst 035 $aPARLA152635$9ExL 040 $aDip.to Scienze pedagogiche$bita 082 04$a306 245 00$aAntropologia storica :$bmateriali per un dibattito /$c(a cura di) Gilberto Mazzoleni, Adriano Santiemma, Vito Lattanzi 260 $aRoma :$bEUROMA,$cstampa 1995 300 $a397 p. ;$c23 cm. 490 0 $aCollana di contributi di antropologia storica 650 4$aAntropologia culturale 700 1 $aMazzoleni, Gilberto$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0143431 700 1 $aSantiemma, Adriano$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0144574 700 1 $aLattanzi, Vito 907 $a.b10944163$b23-02-17$c28-06-02 912 $a991001997749707536 945 $aLE022 306 MAZ01.01$g1$i2022000003346$lle022$o-$pE0.00$q-$rl$s-$t0$u1$v0$w1$x0$y.i11051322$z28-06-02 996 $aAntropologia storica$94369436 997 $aUNISALENTO 998 $ale022$b01-01-00$cm$da$e-$fita$git$h0$i1 LEADER 04955nam 22007815 450 001 9910633921403321 005 20251204105015.0 010 $a9789811951664 010 $a9811951667 024 7 $a10.1007/978-981-19-5166-4 035 $a(CKB)5580000000489896 035 $a(MiAaPQ)EBC7152556 035 $a(Au-PeEL)EBL7152556 035 $a(OCoLC)1356575362 035 $a(BIP)86579863 035 $a(BIP)84961308 035 $a(DE-He213)978-981-19-5166-4 035 $a(EXLCZ)995580000000489896 100 $a20221205d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMusic, Mathematics and Language $eThe New Horizon of Computational Musicology Opened by Information Science /$fby Keiji Hirata, Satoshi Tojo, Masatoshi Hamanaka 205 $a1st ed. 2022. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2022. 215 $a1 online resource (264 pages) 300 $aIncludes index. 311 08$a9789811951657 311 08$a9811951659 327 $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. 330 $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. 606 $aArtificial intelligence 606 $aMusic$xMathematics 606 $aComputational linguistics 606 $aMusic$xPhilosophy and aesthetics 606 $aSemiotics 606 $aLogic, Symbolic and mathematical 606 $aArtificial Intelligence 606 $aMathematics in Music 606 $aComputational Linguistics 606 $aPhilosophy of Music 606 $aSemiotics 606 $aMathematical Logic and Foundations 615 0$aArtificial intelligence. 615 0$aMusic$xMathematics. 615 0$aComputational linguistics. 615 0$aMusic$xPhilosophy and aesthetics. 615 0$aSemiotics. 615 0$aLogic, Symbolic and mathematical. 615 14$aArtificial Intelligence. 615 24$aMathematics in Music. 615 24$aComputational Linguistics. 615 24$aPhilosophy of Music. 615 24$aSemiotics. 615 24$aMathematical Logic and Foundations. 676 $a372.605 700 $aHirata$b Keiji$01338732 702 $aTojo$b Satoshi 702 $aHamanaka$b Masatoshi 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910633921403321 996 $aMusic, Mathematics and Language$93058934 997 $aUNINA