Coding: Difference between revisions

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[[Main_Page]]
[[Main_Page]]
== Studio ==
__NOTOC__
=== Hardware ===
== Getting Started==
* [[Bela]]
* [[Arduino]]
* [[Raspberry Pi]]
* [[RTL-SDR]]
 
=== Learning Platform ===
[//:exercism.io exercism.io]
 
=== Live Coding ===
 
==== DJs of the Future Don't Spin Records—They Write Code ====
 
https://www.wired.com/story/algoraves-live-coding-djs/
 
==== LiveCoding Platforms ====
===== [[Squeek]] =====
===== [[P5live.js]]=====
 
=== Creative Coding ===
* https://www.meetup.com/Creative-Coding-amsterdam/
 
Creative Coding Amsterdam is a community of people interested in all creative aspects of computer programming. It is a place to meet for beginners as well as advanced users, for professionals as well as people coding just for fun.
 
 
* https://www.meetup.com/Creative-Coding-Utrecht/
 
Creative Coding Utrecht (CCU) is a recurring meetup and growing community of coders, developers and people generally interested in the creative possbilities of code & technologies. Please join us in exploring how 21st century skills create new expressions that shape our world.
 
* https://github.com/olilarkin/awesome-musicdsp
 
== Tutorials ==


* [[Setting up your development environment]] for VCVrack,VSTs etc for VSCode in a Windows environment
* [[Setting up your development environment]] for VCVrack,VSTs etc for VSCode in a Windows environment
* Learning Platform [//:exercism.io exercism.io]


=== C++ ===
=== C++ ===
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==== [[VCVRack]] ====
==== [[VCVRack]] ====
==== [[VST Plugins]] ====
==== [[VST Plugins]] ====
==== Frameworks ====
==== [[C ++ Frameworks]] ====
===== JUCE =====
https://juce.com/
is a partially open-source cross-platform C++ application framework, used for the development of desktop and mobile applications. JUCE is used in particular for its GUI and plug-ins libraries. The aim of JUCE is to allow software to be written such that the same source code will compile and run identically on Windows, Mac OS X and Linux platforms. It supports various development environments and compilers. https://en.wikipedia.org/wiki/JUCE
==== DSP ====
 
===== Juce Examples =====
Digital signal processing (DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space, or frequency.
 
Digital signal processing and analog signal processing are subfields of signal processing. DSP applications include audio and speech processing, sonar, radar and other sensor array processing, spectral density estimation, statistical signal processing, digital image processing, signal processing for telecommunications, control systems, biomedical engineering, seismology, among others.
 
http://docs.juce.com/master/tutorial_dsp_introduction.html
Discover the realm of digital signal processing and audio buffer manipulation. Learn the basics of the JUCE DSP module and how you can incorporate its classes in your own audio application and plugins.
 
 
http://docs.juce.com/master/tutorial_dsp_convolution.html
Add grit to a synthesiser sound by creating harmonic distortion through waveshaping. Learn the basics of convolution to retrieve the sonic characteristics contained in an impulse response.
 
http://docs.juce.com/master/tutorial_dsp_delay_line.html
Implement a realistic string model by means of physical modelling. Incorporate a delay line to create intricate echo patterns in the stereo sound field.
 
 
http://docs.juce.com/master/tutorial_simd_register_optimisation.html
Take advantage of the processor's parallelism to perform single instruction multiple data calculations. Optimise your audio applications without introducing concurrency.
 
http://docs.juce.com/master/tutorial_simple_fft.html
Learn how to display incoming audio data as a spectrogram by using the FFT class of the DSP module. Understand the benefits of using a Fast Fourier Transform.
 
http://docs.juce.com/master/tutorial_spectrum_analyser.html
Learn how to display incoming audio data as a spectrum analyser by using the FFT class of the DSP module. Understand the benefits of using a windowing function.
* VULT


=== Javascript ===
=== Javascript ===
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==== [[Python|Basics]] ====
==== [[Python|Basics]] ====


==== Deep Learning ====
==== [[Audio Manipulation]] ====
[[Deep Learning]] is a subset of A.I
 
Although applicable accoss many domains and disciplines we will be concentrating solely on audio. Even here we will be ignoring such topics as audio classification and and concentrating on generation and composition, and to a lesser extend de-mixing and audio restoration.
==== [[Deep Learning]] ====
 
=== Max/Pd ===
* [[Build a synth in Pure Data]]
* [[Build a synth in Max For Live]]
 
=== C Sound ===
=== SuperCollider ===


Peter Kirn http://cdm.link/2019/04/now-ai-takes-on-writing-death-metal-country-music-hits-more/
== Studio ==
=== Hardware ===
* [[Bela]]
* [[Arduino]]
* [[Raspberry Pi]]
* [[RTL-SDR]]
 
=== [[Live Coding]] ===
 
=== Creative Coding ===
* https://www.meetup.com/Creative-Coding-amsterdam/
* https://www.meetup.com/Creative-Coding-Utrecht/

Latest revision as of 22:34, 10 March 2022

Main_Page

Getting Started[edit]

C++[edit]

Basics[edit]

VCVRack[edit]

VST Plugins[edit]

C ++ Frameworks[edit]

Javascript[edit]

Basics[edit]

Node.js[edit]

Web Audio[edit]

Python[edit]

Basics[edit]

Audio Manipulation[edit]

Deep Learning[edit]

Max/Pd[edit]

C Sound[edit]

SuperCollider[edit]

Studio[edit]

Hardware[edit]

Live Coding[edit]

Creative Coding[edit]

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