This 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.
Keiji Hirata is a professor of music informatics at Future University Hakodate.Satoshi Tojo is a professor in the School of Information Science at JAIST.Masatoshi Hamanaka is the team leader of the Music Information Intelligence Team at RIKEN Center for Advanced Intelligence Project.
Chapter 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.
“This books provides a valuable introduction to an original approach to music.” (Athanase Papadopoulos, zbMATH 1541.00042, 2024)