Pascal Programming For Music Research

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.

This bibliography of bibliographies lists and describes sources, from basic references to highly specialized materials. Valuable as a classroom text and as a research tool for scholars, librarians, performers, and teachers.

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

Advances in Computers

This book presents the work of a group of scholars who, without seeking to impose an explicit redefinition of either theory or analysis, explore the limits of both.

The interplay between emotional and intellectual elements feature heavily in the research of a variety of scientific fields, including neuroscience, the cognitive sciences and artificial intelligence (AI). This collection of key introductory texts by top researchers worldwide is the first study which introduces the subject of artificial intelligence and music to beginners. Eduardo Reck Miranda received a Ph.D. in music and artificial intelligence from the University of Edinburgh, Scotland. He has published several research papers in major international journals and his compositions have been performed worldwide. Also includes 57 musical examples.