This book chronicles the history of Center for Computer Research in Music and Acoustics (CCRMA), tracing its origins in Stanford's Artificial Intelligence Laboratory through its present-day influence on Silicon Valley and digital music groups worldwide.

This book explores the fundamentals of computer music and functional programming through the Haskell, inclues algorithmic music composition, such as stochastic generation, musical grammars, self-similarity, and real-time interactive systems, etc.

This book provides an overview of procedural approaches to music generation. It introduces programming concepts through many examples written using the Common LISP and Common Music for music composition and sound synthesis.

This book provides a resource and guide for those just beginning to look at the field of computer music, as well as for more advanced computer composers who might benefit from a fresh insight.

This book is a comprehensive guide and reference that covers all aspects of computer music, including digital audio, synthesis techniques, signal processing, musical input devices, performance software, editing systems, algorithmic composition, MIDI, synthesizer architecture, system interconnection, and psychoacoustics.

This book develops both the theory and the practice of synthesizing musical sounds using computers, with a theoretical description of one technique or problem area and a series of working examples, covering a wide range of applications.

Intended to introduce readers to the use of Artificial Neural Networks in the study of music, this book contains numerous case studies and research findings that address problems related to identifying scales, keys, classifying musical chords, etc.

The book is designed for self-study, principally for composers. It begins with explanations of basic programming and acoustic principles then gradually builds up to the most advanced electronic music processing techniques, using Pure Data (Pd).

This book is a creative audio coding tutorial for the SuperCollider audio synthesis programming language. It covers the basics of sound synthesis and introduces the inbuilt tools for algorithmic composition.

This text is a compilation of courses materials in Music Technology, Digital Synthesis, and Computer Assisted Composition. It blends electro-acoustic composition exercises with SuperCollider and Logic Pro topics.

Sound manipulation is an activity that find an increasing number of practitioners in the fields of artistic expression, technology, and science. This book is aimed at providing such language and mathematical, algorithmic, and computational tools.

This book introduces audio programming to Processing programmers through the Beads library. It covers topics such as synthesis, sampling and general sound-mangling in such a way that is appropriate for beginners, or more experienced programmers.

This book describes signal-processing models and methods that are used in constructing virtual musical instruments and audio effects. The goal of this book is to enable the reader in developing virtual musical instruments and audio effects that can be boiled down to algorithms and executed by a computer.

Go beyond HTML5's Audio tag and boost the audio capabilities of your web application with the Web Audio API. Shows you how the Web Audio API solves specific application audio problems. You need little or no digital audio expertise to get started.

This book is a gentle introduction to digital filters, including mathematical theory, illustrative examples, some audio applications, and useful software starting points. Matlab programming examples are emphasized for illustrating the digital filters in practice.

One can say that human hearing occurs in terms of spectral models. As a result, spectral models are especially useful in audio applications. This is the basis of modern audio compression techniques. The chapters are organized in a progression from basic spectrum analysis to more advanced frequency-domain signal processing.

Detailed derivation of the Discrete Fourier Transform (DFT) and its associated mathematics, including elementary audio signal processing applications and matlab programming examples.

An investigation of the interrelationships between mathematics and music, reviewing the needed background concepts in each subject as they are encountered. It explores the common foundations of the two subjects, which are developed side by side.

This book provides a wealth of information to understand, at varying levels of technicality, the interplay between two ancient disciplines. A must-have book if you want to know about the music of the spheres or digital music and much in between.

The success of Group Theory is impressive and extraordinary. Its influence is strongly felt in almost all scientific and artistic disciplines (in Music, in particular) and in Mathematics itself. It provides answers to questions about the mathematics of music.

An excellent introduction to the interdisciplinary subject of music and mathematics. Offers a lively exploration of the mathematics, physics, and neuroscience that underlie music in a way that readers without scientific background can follow.

Describes a simple method for generating an endless succession of beautiful fractal patterns by iterating simple maps and ordinary differential equations with coefficients chosen automatically by the computer. Each pattern produces a corresponding piece of fractal music.

This book provides a primer on the different types of online music services: what they are good for, and how to use them for music discovery. Though many of the service details are now dated, the fundamentals haven't changed.