About Implementation and training of a deep neural network for speech denoising tasks.
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Updated
Jan 16, 2023 - Jupyter Notebook
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.
Machine Learning, Neural Nets, Deep Learning basics
This repository contains a PyTorch implementation of U-Net applied on mel-spectograms of audio files for speech denoising.
Denoising speech audio using different types of CNN's combined with MFCC's.
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.
VoiceRestore: Flow-Matching Transformers for Universal Speech Restoration
Unofficial implementation of ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech
Speech Denoising using RNNs in Tensorflow
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
NNSE (Neural Network Speech Enhancement) is a speech-denoiser optimized to run on Ambiq's low power platform
Official repository of Spiking-FullSubNet, the Intel N-DNS Challenge Algorithmic Track Winner.
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.
A statistical model-based Speech Enhancement Using MMSE-STSA
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 denoisi…
Official PyTorch Implementation of CleanUNet (ICASSP 2022)
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