This book investigates the computational modeling of music and the retrieval of musical information, exploring how meaning is generated within sound and musical structures. It delves into the theoretical underpinnings and practical applications of representing music in computational systems, examining the relationship between acoustic properties, symbolic representations, and perceived meaning. The work aims to bridge the gap between signal processing, artificial intelligence, and music theory to understand how listeners derive significance from auditory experiences.

The book is positioned as a technical exploration at the intersection of computer science and musicology. Its focus on computational modeling and information retrieval suggests a readership interested in the technical aspects of music analysis and synthesis. The premise indicates a deep dive into the theoretical frameworks that underpin how meaning is constructed and perceived in music through computational means. The work likely appeals to researchers and practitioners in digital signal processing, artificial intelligence, and music information retrieval.