<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Courses | Artificial Audio</title><link>https://artificial-audio.github.io/courses/</link><atom:link href="https://artificial-audio.github.io/courses/index.xml" rel="self" type="application/rss+xml"/><description>Courses</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 31 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://artificial-audio.github.io/media/icon_hu8650941249725304243.png</url><title>Courses</title><link>https://artificial-audio.github.io/courses/</link></image><item><title>Coding Virtual Worlds</title><link>https://artificial-audio.github.io/courses/codingvirtualworlds/</link><pubDate>Fri, 31 Jan 2025 00:00:00 +0000</pubDate><guid>https://artificial-audio.github.io/courses/codingvirtualworlds/</guid><description>&lt;p>Program interactive virtual environments with spatial audio, 3D graphics, and real-time signal processing for immersive experiences.&lt;/p>
&lt;p>Build virtual worlds from the ground up, integrating audiovisual content with game engines and audio programming frameworks.&lt;/p></description></item><item><title>Music Processing &amp; Synthesis</title><link>https://artificial-audio.github.io/courses/musicprocessingsynthesis/</link><pubDate>Fri, 31 Jan 2025 00:00:00 +0000</pubDate><guid>https://artificial-audio.github.io/courses/musicprocessingsynthesis/</guid><description>&lt;p>Digital signal processing techniques for music analysis, synthesis, and transformation — from classic synthesis methods to modern neural audio.&lt;/p>
&lt;p>Learn how to create, manipulate, and understand sound through digital processing, with hands-on projects in music technology.&lt;/p></description></item><item><title>Statistical Signal Processing</title><link>https://artificial-audio.github.io/courses/statisticalsignalprocessing/</link><pubDate>Fri, 31 Jan 2025 00:00:00 +0000</pubDate><guid>https://artificial-audio.github.io/courses/statisticalsignalprocessing/</guid><description>&lt;p>Fundamental techniques for analyzing and processing signals with statistical methods, including estimation theory, detection, and adaptive filtering.&lt;/p>
&lt;p>This course covers the mathematical foundations and practical applications of statistical signal processing, essential for audio and acoustics research.&lt;/p></description></item><item><title>Stochastic Processes</title><link>https://artificial-audio.github.io/courses/stochasticprocesses/</link><pubDate>Fri, 31 Jan 2025 00:00:00 +0000</pubDate><guid>https://artificial-audio.github.io/courses/stochasticprocesses/</guid><description>&lt;p>Mathematical framework for modeling random phenomena in time, with applications to various signal processing including sound, image, music and language.&lt;/p>
&lt;p>Explore probability theory, random walks, Markov processes, and their relevance to computational audio and acoustics.&lt;/p></description></item><item><title>Virtual Acoustics Lab</title><link>https://artificial-audio.github.io/courses/virtualacousticslab/</link><pubDate>Fri, 31 Jan 2025 00:00:00 +0000</pubDate><guid>https://artificial-audio.github.io/courses/virtualacousticslab/</guid><description>&lt;p>Simulate and measure acoustic environments virtually — room acoustics, auralization, and immersive audio for extended realities.&lt;/p>
&lt;p>Practical laboratory experience with virtual acoustics tools, room simulation, and binaural rendering for VR and AR applications.&lt;/p></description></item></channel></rss>