Presents material on Heinrich Schenker and reductive linear analysis and additional material on set theoretical analysis. Replete with musical examples, charts, and diagrams.

Third in a series designed to expand the idea of music theory to points beyond the written page, to have students realize that the music they are performing, listening to, and composing evolves from the realm of music theory. Book 3 covers notes on the grand staff, rhythm, eighth notes, intervals, pentachords, and triads.

Presents material on Heinrich Schenker and reductive linear analysis and additional material on set theoretical analysis. Replete with musical examples, charts, and diagrams.

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 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 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.

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.