#audio generation

A Conceptual Overview Angular is a complete, structured framework built by Google for developing modern web applications. Unlike lighter libraries like React or Vue, Angular provides everything out of the box — including routing, forms, testing tools, and state management. It’s built using TypeScript, which helps catch errors early, improve code clarity, and support large-scale projects. At the…

Generative AI for your musical curiousityI guess I’ll hand write this one. This one goes out to the lady on the train whose eye I couldn’t quite catch. I wanted to recommend this site to you, but instead I’ll leave this here like it’s Craigslist‘s missed connections. Suno let’s you create music with a simple text prompt. It’s text-to-sound generation. There’s one creator on here who caught my…

Listen to Wikipedia

Do not just look at these GIFs. You’ve got to hear this to get the full experience: Listen to Wikipedia

The way it works is to watch the edits being made on Wikipedia and playing notes in response, as it happens live. Stick it up in the background and listen to the data.

I really like this kind of thing, for a multitude of reasons: it uses an unusual input as an effective way to create structure; it gives me a completely new way to understand the data; and it creates listenable music that’s totally generated but still has a very human connection.

Listen to Wikipedia was built by Stephen LaPorte and Mahmoud Hashemi, and you can peruse the source code on Github.

In 2011, demoscene artist viznut discovered that he could pipe the output of very short computer programs into audio output.

It spawned a genre that got labeled bytebeat, a form of glitch music. There’s a bunch of tools to make experimenting with composing these easier, including Glitch Machine, Bytebeat, libglitch, Html5 Bytebeat, or this online tool.

Viznut has posted a couple of blog posts with some analysis of the appeal of the genre.

(via https://www.youtube.com/watch?v=tCRPUv8V22o)

The ringing in my ears would not let me sleep tonight. So I decided that I needed to do something about it.  I remembered a friend of mine told me about how you can make your own therapy for this by trying to match the pitch of your tinnitus with a sinusoidal oscillator and listening to the sound it generates.

That same friend talked to me about a digital sound processing and generation language called ChucK. I was trying to find some time to learn this language but was always very busy with school, work, winter depression, a few very important issues and lots of problems that are not problems. Well, tonight I had some time since I could not sleep.

I installed the chuck interpreter (pretty easy if you follow the instructions in their readme file) and started to read their documentation. It is super easy to learn. Maybe later I'll write about the other stuff I learned tonight. But for now, it'll take you 2 minutes to search the documentation and write this program:

========================================================

KBHit kb;

SinOsc s => dac;

400.0 => float freq;

10.0 => float step;

while(true){

    <<< "freq:", freq , "step :", step >>>;

    freq => s.freq;

    kb => now;

    while(kb.more()){

        kb.getchar() => int c;

        if ( c== 66 ){

            Math.max(freq-step,30)=>freq;

        }

        if ( c== 65 ){

           Math.min(freq+step,24000)=>freq;

        }

        if ( c== 67 ){

            step*2=>step;

        }

        if ( c== 68 ){

            Math.max(step*0.5,0.00001)=>step;

        }

    }

}

=========================================================

Nothing too exciting. Just use the up and down arrows to change the frequency of the oscillator by some step size. To change the step size, use the left and right arrows.

I found very exciting to determine the frequencies of the ringing in my ears. You find these frequencies while scanning through the auditory range (from 20 Hz to 20 KHz). Once you have that figured out, you can apply  notch (band gap) filters at the frequencies of your tinnitus to music tracks and listen to them. This will help in reducing the loudness of the tinnitus. In the next hours I'll try to see if I can do that directly on ChucK; i.e. passing whatever sounds are going to the soundcard to chuck, filter those sounds, and send them to the output again.