Eric discusses the groundbreaking use of deep learning techniques for music processing, particularly in isolating and removing vocals from tracks. By leveraging a vast music catalog and innovative architectures like Pix2Pix and Unet, they’ve pushed the boundaries of audio source separation. The conversation highlights the importance of data in training algorithms and the clever methods used to harvest it, paving the way for advancements in audio technology.
