Pascal Programming for Music Research addresses those who wish to develop the programming skills necessary for doing computer-assisted music research, particularly in the fields of music theory and musicology. Many of the programming techniques are also applicable to computer assisted instruction (CAI), composition, and music synthesis. The programs and techniques can be implemented on personal computers or larger computer systems using standard Pascal compilers and will be valuable to anyone in the humanities creating data bases. Among its useful features are: -complete programs, from simple illustrations to substantial applications; -beginning programming through such advanced topics as linked data structures, recursive algorithms, DARMS translation, score processing; -bibliographic references at the end of each chapter to pertinent sources in music theory, computer science, and computer applications in music; -exercises which explore and extend topics discussed in the text; -appendices which include a DARMS translator and a library of procedures for building and manipulating a linked representation of scores; -most algorithms and techniques that are given in Pascal programming translate easily to other computer languages. Beginning, as well as advanced, programmers and anyone interested in programming music applications will find this book to be an invaluable resource.

In Knowledge-Based Programming for Music Research, Schaffer and McGee explore expert systems for applications in artificial intelligence (AI). The text concerns (1) basic principles for knowledge-based programming, (2) concepts and strategies for programming these systems, (3) a "universal data" model for music analysis, and (4) examples that concern specific aspects of design and application. The authors also investigate Prolog (programming in logic), one of the most widely used computer languages for AI, and base some of their applications on the recent implication-based theories of Eugene Narmour. Of the applications for programming a knowledge-based system, music analysis has the most potential. Beyond identifying isolated elements, it is possible to create programs that extend to chord structures and other, more complex structures. This kind of programming allows the authors to embed the rules of composition in the application and then extend the analysis throughout the musical work. It also allows them to arrive at the underlying principles for a given composition. As a tool for music analysis, such programming has profound implications for further growth. The text is designed for musicians at various levels and could also be used in courses on computer-music programming. Parts of the book have been successfully used in courses on computer programming for music research, with which the authors have direct experience. The text includes extensive examples of code for use in individual Prolog applications and a comprehensive bibliography.

Rather than advocating a new kind of musicology, 'Empirical Musicology' aims to provide a practical guide to empirical approaches that are ready for incorporation into the contemporary musicologist's toolkit.

This title was first published in 2002. Through analyses of a number of Honegger's compositions, including extended analyses of two of Honegger's orchestral works, "Mouvement symphonique No. 2 (Rugby)" and "Symphonie pour cordes", Keith Waters examines the principles of musical organization in Honegger's music and shows how these principles are based on systematic rhythmic and contrapuntal strategies. Musical form in Honegger's work, the book argues, is articulated by contrapuntal and rhythmic structures rather than by tonal structure, and it is this that provides the source of compositional unity in Honegger's music.

Expanded, updated, and fully revised—the definitive introduction to electronic music is ready for new generations of students. Essential and state-of-the-art, The Computer Music Tutorial, second edition is a singular text that introduces computer and electronic music, explains its motivations, and puts topics into context. Curtis Roads’s step-by-step presentation orients musicians, engineers, scientists, and anyone else new to computer and electronic music. The new edition continues to be the definitive tutorial on all aspects of computer music, including digital audio, signal processing, musical input devices, performance software, editing systems, algorithmic composition, MIDI, and psychoacoustics, but the second edition also reflects the enormous growth of the field since the book’s original publication in 1996. New chapters cover up-to-date topics like virtual analog, pulsar synthesis, concatenative synthesis, spectrum analysis by atomic decomposition, Open Sound Control, spectrum editors, and instrument and patch editors. Exhaustively referenced and cross-referenced, the second edition adds hundreds of new figures and references to the original charts, diagrams, screen images, and photographs in order to explain basic concepts and terms. Features New chapters: virtual analog, pulsar synthesis, concatenative synthesis, spectrum analysis by atomic decomposition, Open Sound Control, spectrum editors, instrument and patch editors, and an appendix on machine learning Two thousand references support the book’s descriptions and point readers to further study Mathematical notation and program code examples used only when necessary Twenty-five years of classroom, seminar, and workshop use inform the pace and level of the material

No detailed description available for "New Technologies for the Humanities".

The establishment of the Musical Instrument Digital Interface (MIDI) in the late 1980s allowed hobbyists and musicians to experiment with sound control in ways that previously had been possible only in research studios. MIDI is now the most prevalent representation of music, but what it represents is based on hardware control protocols for sound synthesis. Programs that support sound input for graphics output necessarily span a gamut of representational categories. What is most likely to be lost is any sense of the musical work. Thus, for those involved in pedagogy, analysis, simulation, notation, and music theory, the nature of the representation matters a great deal. An understanding of the data requirements of different applications is fundamental to the creation of interchange codes. The contributors to Beyond MIDI present a broad range of schemes, illustrating a wide variety of approaches to music representation. Generally, each chapter describes the history and intended purposes of the code, a description of the representation of the primary attributes of music (pitch, duration, articulation, ornamentation, dynamics, and timbre), a description of the file organization, some mention of existing data in the format, resources for further information, and at least one encoded example. The book also shows how intended applications influence the kinds of musical information that are encoded. Contributors David Bainbridge, Ulf Berggren, Roger D. Boyle, Donald Byrd, David Cooper, Edmund Correia, Jr., David Cottle, Tim Crawford, J. Stephen Dydo, Brent A. Field, Roger Firman, John Gibson, Cindy Grande, Lippold Haken, Thomas Hall, David Halperin, Philip Hazel, Walter B. Hewlett, John Howard, David Huron, Werner Icking, David Jaffe, Bettye Krolick, Max V. Mathews, Toshiaki Matsushima, Steven R. Newcomb, Kia-Chuan Ng, Kjell E. Nordli, Sile O'Modhrain, Perry Roland, Helmut Schaffrath, Bill Schottstaedt, Eleanor Selfrdige-Field, Peer Sitter, Donald Sloan, Leland Smith, Andranick Tanguiane, Lynn M. Trowbridge, Frans Wiering