Separating Vocals in Recorded Music at Spotify with Eric Humphrey - TWiML Talk #98
Analysis
This article discusses a podcast episode featuring Eric Humphrey, a research scientist at Spotify, focusing on separating vocals from recorded music using deep learning. The conversation covers Spotify's use of its vast music catalog for training algorithms, the application of architectures like U-Net and Pix2Pix, and the concept of "creative AI." The article also promotes the upcoming RE•WORK Deep Learning Summit in San Francisco, highlighting key speakers and offering a discount code. The core focus is on the technical aspects of music understanding and AI's role in it, specifically within the context of Spotify's research.
Key Takeaways
“We discuss his talk, including how Spotify's large music catalog enables such an experiment to even take place, the methods they use to train algorithms to isolate and remove vocals from music, and how architectures like U-Net and Pix2Pix come into play when building his algorithms.”