<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Music on lavafroth</title><link>https://lavafroth.is-a.dev/tags/music/</link><description>Recent content in Music on lavafroth</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 08 Jun 2026 19:52:23 +0530</lastBuildDate><atom:link href="https://lavafroth.is-a.dev/tags/music/index.xml" rel="self" type="application/rss+xml"/><item><title>Becoming All the Instruments</title><link>https://lavafroth.is-a.dev/post/becoming-all-the-instruments/</link><pubDate>Mon, 08 Jun 2026 19:52:23 +0530</pubDate><guid>https://lavafroth.is-a.dev/post/becoming-all-the-instruments/</guid><description>&lt;p&gt;In this post, I talk about a tool I&amp;rsquo;ve been making using very rudimentary math
to convert humming or human whistles into musical notes, specifically MIDI
notes.&lt;/p&gt;
&lt;p&gt;First, I tried using Fourier transform over chunks of the audio, which is
known as the STFT. I wanted to get straight or close to straight lines for each
humming pattern or whistle. Since the note boundaries were not very clear the
first step was to find those, preferably without using any neural networks or
fancy math. I wanted to something simple that the human can supply.&lt;/p&gt;</description></item></channel></rss>