Investigating the Performance and Energy Costs of Replicating Band-Split RNN for Music Source Separation

Band-split recurrent neural network (BSRNN) is a popular music source separation model that yields close to state-of-the-art results using reasonable computational resources and public datasets. It is therefore interesting from a reproducible research perspective, but achieving its performance is no