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

Last update: Jan 18, 2022

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Deep Learning DINC-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

GitHub Repository

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

Related tags

Overview

DINC-Net

The trained model and denoising example for cardiopulmonary auscultation enhancement

Requirement

Inference this model

Input:

Output:

Owner

ycj_project

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