Recurrent neural network for audio noise reduction
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Updated
May 20, 2024 - C
Recurrent neural network for audio noise reduction
Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
Collection of popular and reproducible image denoising works.
Real-time microphone noise suppression on Linux.
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
QualityScaler - image/video AI upscaler app
Speech noise reduction which was generated using existing post-production techniques implemented in Python
Official PyTorch Implementation of CleanUNet (ICASSP 2022)
This is a RNNoise windows demo. It was modified and restructured so that it can be compiled with MSVC, VS2017, VS2019.
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…
Providing reproducibility in deep learning frameworks
Open Source Noise Cancellation App for Virtual Meetings
A simple Python wrapper for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.
Lv2 suite of plugins for broadband noise reduction
A speech denoise lv2 plugin based on RNNoise library
Python for Random Matrix Theory: cleaning schemes for noisy correlation matrices.
Framework for computing seismic attributes with Python.
This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"
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