# SepFormer Architecture

This is a speech enhancement model based on the SepFormer architecture, specifically designed for denoising German speech in rescue scenarios, performing excellently at a 16kHz sampling rate.

This is a speech enhancement model using the SepFormer architecture, specifically designed to remove noise and reverberation from audio, trained on the WHAM! dataset at a 16kHz sampling rate.

This is an audio source separation model based on the SepFormer architecture, trained on the WHAM! dataset, capable of separating different sound sources from mixed audio.