Conversely, the book opens the door for programmers to interact with music by using a medium that is familiar to them. Readers will learn how to use the Euterpea library for Haskell to represent and create their own music with code, without the need for other music software.
The book explores common paradigms used in algorithmic music composition, such as stochastic generation, musical grammars, self-similarity, and real-time interactive systems. Other topics covered include the basics of signal-based systems in Haskell, sound synthesis, and virtual instrument design.
This is a textbook on functional programming in Haskell, with a strong focus on computer music concepts and applications. The book describes Euterpea, a computer music library developed in Haskell, that allows programming computer music applications both at the note level and the signal level.
The book also teaches functional programming in Haskell from scratch. It is suitable for use in the classroom to teach functional programming concepts, Haskell language details, computer music and audio processing concepts and applications - or all of the above.
Table of contents
- Computer Music, Euterpea, and Haskell
- Simple Music
- Polymorphic & Higher-Order Functions
- A Musical Interlude
- Syntactic Magic
- More Music
- Qualified Types and Type Classes
- Interpretation and Performance
- Self-Similar Music
- Proof by Induction
- An Algebra of Music
- L-Systems and Generative Grammars
- Random Numbers ... and Markov Chains
- From Performance to Midi
- Basic Input/Output
- Higher-Order Types and Monads
- Musical User Interface
- Sound and Signals
- Euterpea's Signal Functions
- Spectrum Analysis
- Additive and Subtractive Synthesis
- Amplitude and Frequency Modulation
- Physical Modelling
- Sound Effects
- The PreludeList Module
- Haskell's Standard Type Classes
- Built-in Types Are Not Special
- Pattern-Matching Details
Pages : | 441 |
Size : | 4.1 MB |
Downloads: | 42 |
Created: | 2022-02-03 |
License: | CC BY |
Author(s): | Paul Hudak, Donya Quick |
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