Model: sp-uhh/speech-enhancement-sgmse
Author: sp-uhh
Pipeline: audio-to-audio
Library: pytorch
Tags: pytorch, speech-enhancement, dereverberation, diffusion-models, generative-models, audio-processing, audio-to-audio, en, dataset:VoiceBank-DEMAND, dataset:WSJ0-CHiME3, dataset:WSJ0-REVERB, dataset:EARS-WHAM, dataset:EARS-Reverb, arxiv:2406.06185, arxiv:2409.10753, license:mit, region:us
Card metadata: language: en
tags: speech-enhancement, dereverberation, diffusion-models, generative-models, pytorch, audio-processing
license: mit
datasets: VoiceBank-DEMAND, WSJ0-CHiME3, WSJ0-REVERB, EARS-WHAM, EARS-Reverb
model_name: speech-enhancement-dereverberation-diffusion
model_type: diffusion-based-generative-model
library_name: pytorch
key_files: model.py, train.py, inference.py
inference: yes
pipeline_tag: audio-to-audio
Likes: 17 | All-time downloads: 546
Created: 2024-08-13 15:45:01