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I tried teaching my computer how music works. Not how to write songs - but how producers actually think about sound. Structure. Timbre. Rhythm. Texture. In this video I break down the process and what goes into teaching a machine music theory and sound design. Along the way we explore: • How producers describe sound • Why most systems struggle with timbre • How embeddings represent musical concepts • How diffusion models generate sound from noise • And how this project turned into a controllable sample generator for music production –––––––––––––––––––––––––––––––––––––– 🧬 Foundation-1 Sample Generator Model Hugging Face Page: https://huggingface.co/RoyalCities/Fo... 🛠️ Local Generator Interface (Gradio) GitHub: https://github.com/RoyalCities/RC-sta... 💬 Social https://x.com/RoyalCities –––––––––––––––––––––––––––––––––––––– 🎧 Music In This Video All music produced by RoyalCities. 🎛️ AI Consulting or need custom music? Send me a message -royalcitiesofficial@gmail.com –––––––––––––––––––––––––––––––––––––– Other Cool Links: More Audio Examples can be found on this post (video) https://x.com/RoyalCities/status/2031... The embedding space / starfield visualizer was built using a slightly modified version of this amazing SAE feature Explorer - https://github.com/lyramakesmusic/act... - It's really cool so I wanted to shout it out! –––––––––––––––––––––––––––––––––––––– Timestamps 00:00 – Intro 00:52 – What Sound Actually Is 01:19 – Structure of Sound 02:09 – Context is Genre 02:36 – Samples - The Building Blocks of Music Production 03:16 – Timbre - How Sound Feels 04:26 – Formalizing Structure vs Timbre 05:20 – Why do this? 05:49 – Building a Vocabulary 06:15 – Creating Sounds Across 2 Axes 06:45 – Notations Role 07:10 – How Diffusion Works in Audio Models 08:56 – How Random Noise Turns Into Sound 10:13 – Describing Bass Example 11:00 – Describing 303 / Acid 11:56 – How I did it 12:50 – Showcase of what it can do 16:08 – Teaching it Dubstep and Chiptune 17:23 – Timbre Mixing as Sound Design 17:52 - Timbre Transfer from Existing Audio 18:29 – Thoughts on the State of Music and AI 19:36 – Releasing the Model 20:09 – Final Thoughts