This book provides an in-depth introduction and overview of current research in computational music analysis. Its seventeen chapters, written by leading researchers, collectively represent the diversity as well as the technical and philosophical sophistication of the work being done today in this intensely interdisciplinary field. A broad range of approaches are presented, employing techniques originating in disciplines such as linguistics, information theory, information retrieval, pattern recognition, machine learning, topology, algebra and signal processing. Many of the methods described draw on well-established theories in music theory and analysis, such as Forte's pitch-class set theory, Schenkerian analysis, the methods of semiotic analysis developed by Ruwet and Nattiez, and Lerdahl and Jackendoff's Generative Theory of Tonal Music. The book is divided into six parts, covering methodological issues, harmonic and pitch-class set analysis, form and voice-separation, grammars and hierarchical reduction, motivic analysis and pattern discovery and, finally, classification and the discovery of distinctive patterns. As a detailed and up-to-date picture of current research in computational music analysis, the book provides an invaluable resource for researchers, teachers and students in music theory and analysis, computer science, music information retrieval and related disciplines. It also provides a state-of-the-art reference for practitioners in the music technology industry.

This book introduces a theory of music analysis that one can use to explore aspects of segmentation and associative organization in a wide range of repertoire including Western classical music from the Baroque to the present, with potential applications to jazz and popular music, and some non-Western musics. Rather than a methodology, the theory provides analysts with precise language and a broad, flexible conceptual framework through which they can formulate and investigate questions of interest and develop their own interpretations of individual pieces and passages. The theory begins with a basic distinction among three domains of musical experience and discourse about it: the sonic (psychoacoustic); the contextual (or associative, sparked by varying degrees of repetition); and the structural (guided by a specific theory of musical structure or syntax invoked by the analyst). A comprehensive presentation of the theory, with copious musical illustrations, is balanced with close analyses of works by Beethoven, Debussy, Nancarrow, Riley, Feldman, and Morris. Dora A. Hanninen is professor of music theory at the University of Maryland. She received the 2010 Outstanding Publication Award from the Society for Music Theory.

This volume brings together a group of analytical chapters exploring traditional genres and styles of world music, capturing a vibrant and expanding field of research. These contributors, drawn from the forefront of researchers in world music analysis, seek to break down barriers and build bridges between scholarly disciplines, musical repertoires, and cultural traditions. Covering a wide range of genres, styles, and performers, the chapters bring to bear a variety of methodologies, including indigenous theoretical perspectives, Western music theory, and interdisciplinary techniques rooted in the cognitive and computational sciences. With contributors addressing music traditions from Africa, Asia, Europe, and the Americas, this volume captures the many current directions in the analysis of world music, offering a state of the fi eld and demonstrating the expansion of possibilities created by this area of research.

Everything in its Right Place identifies the secret to Radiohead's immense commercial and critical success in the band's ability to navigate a sweet spot between expectation and surprise. The author uses tools from musical perception, semiotics, and music theory to demonstrate this reconciliation of extremes, and analyzes musical meaning with lyrics, biographical details, and intertextual relationships.

This collection of 21 model essays written by contemporary North American scholars in music theory is designed to provide advanced undergraduates and graduates majoring in music with exemplary models of music analysis. The book would be a useful supplement to the scores that are studies in upper level Form and Analysis courses.

The Routledge Companion to Popular Music Analysis: Expanding Approaches widens the scope of analytical approaches for popular music by incorporating methods developed for analyzing contemporary art music. This study endeavors to create a new analytical paradigm for examining popular music from the perspective of developments in contemporary art music. "Expanded approaches" for popular music analysis is broadly defined as as exploring the pitch-class structures, form, timbre, rhythm, or aesthetics of various forms of popular music in a conceptual space not limited to the domain of common practice tonality but broadened to include any applicable compositional, analytical, or theoretical concept that illuminates the music. The essays in this collection investigate a variety of analytical, theoretical, historical, and aesthetic commonalities popular music shares with 20th and 21st century art music. From rock and pop to hip hop and rap, dance and electronica, from the 1930s to present day, this companion explores these connections in five parts: Establishing and Expanding Analytical Frameworks Technology and Timbre Rhythm, Pitch, and Harmony Form and Structure Critical Frameworks: Analytical, Formal, Structural, and Political With contributions by established scholars and promising emerging scholars in music theory and historical musicology from North America, Europe, and Australia, The Routledge Companion to Popular Music Analysis: Expanding Approaches offers nuanced and detailed perspectives that address the relationships between concert and popular music.

This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects of music data analysis such as architecture, user interface and hardware. It is ideal for use in university classes with an interest in music data analysis. It also could be used in computer science and statistics as well as musicology.

This book shows how recent work in cognitive science, especially that developed by cognitive linguists and cognitive psychologists, can be used to explain how we understand music. The book focuses on three cognitive processes--categorization, cross-domain mapping, and the use of conceptual models--and explores the part these play in theories of musical organization. The first part of the book provides a detailed overview of the relevant work in cognitive science, framed around specific musical examples. The second part brings this perspective to bear on a number of issues with which music scholarship has often been occupied, including the emergence of musical syntax and its relationship to musical semiosis, the problem of musical ontology, the relationship between words and music in songs, and conceptions of musical form and musical hierarchy. The book will be of interest to music theorists, musicologists, and ethnomusicologists, as well as those with a professional or avocational interest in the application of work in cognitive science to humanistic principles.

This book contains a complete and accurate mathematical treatment of the sounds of music with an emphasis on musical timbre. The book spans the range from tutorial introduction to advanced research and application to speculative assessment of its various techniques. All the contributors use a generalized additive sine wave model for describing musical timbre which gives a conceptual unity, but is of sufficient utility to be adapted to many different tasks.