M. Monastyrskyi

Interference Reduction in Music Source Separation Through Recurrent Inference with Deep Neural Network Models

The issue of music source separation is discussed, focusing on its use in many audio processing tasks like remixing, target sound extraction, and audio quality improvement. This work addresses the problem through a recurrent inference framework that uses a pretrained deep neural network model, specifically within m a s...