# Speech Source Separation

This is an audio source separation model based on the RE-SepFormer architecture, implemented by SpeechBrain and trained on the WSJ0-2Mix dataset.

An audio source separation model based on the SepFormer architecture, trained on the WSJ0-2Mix dataset, capable of separating mixed audio into independent speech sources.

SepFormer is a Transformer-based audio source separation model trained on the WHAMR! dataset, designed to separate mixed speech signals.