narner

Projects I worked on in 2015

I've been active in two open-source projects, both of which have the goal of making audio programming easier for developers:

• AudioKit For a little over the past year, I've been a core contributor of AudioKit, an open-source audio analysis, synthesis, and processing toolkit for iOS and OS X.
• Soundpipe Recently, I've become active in contributing to Paul Batchelor's Soundpipe project. Soudpipe is a lightweight music DSP library, designed to be easily extendable and embedable.

I also made a simple demo of how an AudioKit oscillator OS X app can be controlled with an Arduino: Arduino-AudioKitOSX

Early in the year, the first app I was involved with was released on the App Store:

narner

Keybase proof

I hereby claim:

• I am narner on github.
• I am narner (https://keybase.io/narner) on keybase.
• I have a public key whose fingerprint is F667 7B67 7B35 9D52 3FB2 18FD BED4 0361 8AD5 9B18

To claim this, I am signing this object:

narner

For the past few months, I've been working on a project that involved machine learning, a subject that I was previously quite unfamiliar with. Though I'm still very much a novice, the resources here helped give me an overview of the subject, or are ones that I plan on exploring further.

Articles / Essays

Review of machine/deep learning in an artistic context - Memo Akten

Notes on Artificial Intelligence - Francis Tseng

narner

import processing.net.*; // include the networking library

Server server; // will receive predictions 
Client client;
String messageText;
int dataIn;
PFont f;

void setup() {
  fullScreen(P3D);

narner

import processing.net.*; // include the networking library

Server server; // will receive predictions 
String messageText;
PFont f;

void setup()
{
  fullScreen(P3D);
  frameRate(600);

narner

import processing.net.*; // include the networking library

Server server; // will receive predictions from ESP
String messageText;
PFont f;

void setup()
{
  fullScreen();
  //size(200,200);

narner

nicholasarner@NickLaptop heroku-python-script-master % git push heroku master
Enumerating objects: 8, done.
Counting objects: 100% (8/8), done.
Delta compression using up to 8 threads
Compressing objects: 100% (4/4), done.
Writing objects: 100% (5/5), 1.07 KiB | 1.07 MiB/s, done.
Total 5 (delta 1), reused 0 (delta 0)
remote: Compressing source files... done.
remote: Building source:
remote: 

narner

    func startAudioEngine() {
        
        let audioSession = AVAudioSession.sharedInstance()

        do {
            try audioSession.setCategory(
                AVAudioSession.Category.record)
        } catch let error as NSError {
            print("audioSession error: \(error.localizedDescription)")
        }

narner

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narner

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