Lv2 suite of plugins for broadband noise reduction
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Updated
Jun 10, 2024 - C
Lv2 suite of plugins for broadband noise reduction
Speech Enhancement tutorials
This project explores the effectiveness of FFT filters and DnCNN denoising in improving image quality by reducing noise in digital images.
The project aims to reduce noise from audio files using signal processing and deep learning techniques.
This project uses autoencoders to denoise MNIST images, aiming to improve handwritten digit recognition by refining classifier training data
Artifact Subspace Reconstruction for Python
QualityScaler - image/video AI upscaler app
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.
RealScaler - image/video AI upscaler app (Real-ESRGAN)
bLUe - A simple and comprehensive image editor featuring automatic contrast enhancement, color correction, 3D LUT creation, raw postprocessing, exposure fusion and noise reduction
Simple speech segmentation in Matlab
Restoring image with noise using Python
A simple Python wrapper for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.
Noise suppressor nodes for Web Audio API.
Providing reproducibility in deep learning frameworks
Simple audio transcription module
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