Amazing AI: Music Editing with Deep Learning
- Computer with internet connection
Deep Learning is used more and more across a variety of industries, and it threatens to disrupt yet another one - the music industry.
So far, there are a lot of different applications on how people use AI in music to get the best possible results - from generating music, lyrics to creating the whole Eurovision songs using this fantastic technology!
In this course, you will learn about another example of how to leverage the full potential of Artificial Intelligence and Deep Learning in the music industry with a few libraries and Python programming language.
You and I will jump in the Google Collab, and in just under 30 minutes, from zero to playable songs go, we will use AI to split any song to its different parts (vocals, drums, bass, and other instruments)!
- Anyone interested in Music
- Anyone interested in Machine Learning
- Deep Learning specialist looking to learn about one more application
- Students looking to break into Data Science industry, searching for interesting portfolio projects
- Data Scientists
- People for Business looking for ideas on how to leverage Machine Learning for their business
- Installing dependencies and packages04:27
- Environment preparation for our project04:02
- Downloading from YouTube using Python06:08
- Splitting song to different parts using AI05:43
- Evaluating results02:57
- Result for: Artificial Intelligence generated song: Blue Jeans and Bloody tears03:40
- BONUS: Where to next?01:08
Luka Anicin is the Founder of Scooby AI, which uses AI technology to help job-seekers in the job-searching process. He is an AI Engineer and Partner at BlueLife AI.
He loves education and helping others get the most out of new Data Science and AI technologies. Luka had the pleasure of working with many companies from all over the world and assist them in their AI transformation process.