The trained model and denoising example for paper : Cardiopulmonary Auscultation Enhancement with a Two-Stage Noise Cancellation Approach

Related tags

Deep LearningDINC-Net
Overview

DINC-Net

The trained model and denoising example for cardiopulmonary auscultation enhancement

Paper : Cardiopulmonary Auscultation Enhancement with a Two-Stage Noise Cancellation Approach

Requirement

  • Python 3.7
  • PyTorch 1.7
  • TorchAudio 0.7.1

Inference this model

python NoiseCancellationTest.py

Input:

​ ./normal_NLMS/mix.wav

​ ./normal_NLMS/noise.wav

Output:

​ ./result/restore.wav

Owner
ycj_project
ycj_project
GitHub Repository
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