Mathematical And Computational Modeling Of Tonality

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Mathematical and Computational Modeling of Tonality

Mathematical and Computational Modeling of Tonality
Author :
Publisher : Springer Science & Business Media
Total Pages : 305
Release :
ISBN-10 : 9781461494751
ISBN-13 : 1461494753
Rating : 4/5 (753 Downloads)

Book Synopsis Mathematical and Computational Modeling of Tonality by : Elaine Chew

Download or read book Mathematical and Computational Modeling of Tonality written by Elaine Chew and published by Springer Science & Business Media. This book was released on 2013-12-13 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the Preface: Blending ideas from operations research, music psychology, music theory, and cognitive science, this book aims to tell a coherent story of how tonality pervades our experience, and hence our models, of music. The story is told through the developmental stages of the Spiral Array model for tonality, a geometric model designed to incorporate and represent principles of tonal cognition, thereby lending itself to practical applications of tonal recognition, segmentation, and visualization. Mathematically speaking, the coils that make up the Spiral Array model are in effect helices, a spiral referring to a curve emanating from a central point. The use of “spiral” here is inspired by spiral staircases, intertwined spiral staircases: nested double helices within an outer spiral. The book serves as a compilation of knowledge about the Spiral Array model and its applications, and is written for a broad audience, ranging from the layperson interested in music, mathematics, and computing to the music scientist-engineer interested in computational approaches to music representation and analysis, from the music-mathematical and computational sciences student interested in learning about tonality from a formal modeling standpoint to the computer musician interested in applying these technologies in interactive composition and performance. Some chapters assume no musical or technical knowledge, and some are more musically or computationally involved.


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