The Haskell School of Music - From Signals to Symphonies (Paul Hudak, et al)

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The Haskell School of Music - From Signals to Symphonies (Paul Hudak, et al)

This book examines the foundations of functional programming and computer music using the Haskell programming language. Functional programming is frequently seen as challenging to master.

Students and professionals with a musical bent will be able to use their skills to better comprehend ideas that can be challenging in more standard computer science settings thanks to this introduction in the context of making music.

On the other hand, the book provides a means for programmers to interact with music in a way that is comfortable for them. Readers will learn how to express and produce their own music using the Euterpea library for Haskell (, without the usage of additional music software.

In this book, popular paradigms for algorithmic music composition are examined, including stochastic generation, musical grammar, self-similarity, and real-time interactive systems. The fundamentals of Haskell signal-based systems, sound synthesis, and virtual instrument construction are further subjects covered.

This book teaches functional programming in Haskell with a special emphasis on ideas and applications related to computer music. The Haskell-based computer music library Euterpea, which enables the programming of computer music applications at both the note and signal levels, is described in the book.

Additionally, functional programming from scratch in Haskell is covered throughout the book. It is appropriate for use in the classroom to teach Haskell language specifics, computer music, audio processing concepts, and applications, or any combination of the aforementioned.

Ebook Details

About the Authors
Paul Hudak was a professor of computer science at Yale University and an American. He is most known for having contributed to the creation of the Haskell programming language and for having written several books on computer music and Haskell.
Published Date / Year
(October 4, 2018); eBook (Draft, 2014)
398 pages
eBook Format
PDF (353 pages)

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