Audio-Source-Separation

In this project we perform audio source separation by separating vocal and instrumental components of audio signals. We compare the performance of the U-Net proposed by Jansson et al and the baseline model on the MIR-1K dataset. We apply data augmentation to analyse the performance of models. The models are evaluated quantitatively using SDR, SIR and SAR metrics and qualitatively through listening.