AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
3min chapter
Machine Learning Unlocks a New Era for Music
Where the Internet Lives
How to Use Machine Learning to Improve Musical Performance
Using big machine learning models, there's just too many computations to do this. The researchers on magenta developed an approach called differential ball digital signal processing that allowed them to control efficient signal processing operations with expressive neural networks. Make neural audio synthesis orders of magnitude faster and more data efficient by baking prior knowledge into the network. What that means is you can have machine learning models that are a lot smaller. You could generate something and get it back in a couple of seconds. This was a game changer because it put music machine learning in the audio space into an interactive domain which is very important for artistic and musical applications.
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode