There are 11 repositories under speech-denoising topic.
AI powered speech denoising and enhancement
A neural network for end-to-end speech denoising
Deep Recurrent Neural Networks for Source Separation
Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.
A statistical model-based Speech Enhancement Using MMSE-STSA
A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.
A self-supervised speech denoising strategy named Only-Noisy Training (ONT), which solves the speech denoising problem with only noisy audio signals in audio space for the first time.
Official repository of Spiking-FullSubNet, the Intel N-DNS Challenge Algorithmic Track Winner.
Speech Denoising using RNNs in Tensorflow
Unofficial implementation of ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech
Time-Frequency Regularized Overlapping Group Shrinkage
Removing noise from speech using 1-D & 2-D Convolutional Neural Network (CNN)
An implementation of the paper MetricGAN (ICML 2019) in pytorch with some changes.
Denoising speech audio using different types of CNN's combined with MFCC's.
This repository contains a PyTorch implementation of U-Net applied on mel-spectograms of audio files for speech denoising.
About Implementation and training of a deep neural network for speech denoising tasks.
A solution of "Bandai Namco Data Science Challenge." The task is to estimate clean mel-spectrogram by removing noise from artificially contaminated noisy one.