📁 Aligners -Declippers - Denoisers - Dereverbers - Upscalers - Restorers - Speech Enhancers - Others
Warning
Aligners ⌂
Repository | Short description | Language | License | Last commit |
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Differentiable APFs | Code for Differentiable Allpass Filters for Phase Response Estimation and Automatic Signal Alignment paper | |||
StereoPhaseNet | A deep learning project aimed at correcting phase issues in stereo audio recordings | |||
RLAutoAlign | Using reinforcement learning to automatically phase align audio | |||
Audio Enhancement from Multiple Crowdsourced Recordings | Code for Audio Enhancement from Multiple Crowdsourced Recordings: A Simple and Effective Baseline paper | |||
DNN Auto Align | Aims to align an input signal with a target / reference signal using differentiable all-pass filters | |||
Exploiting Time-Frequency Conformers for Music Audio Enhancement | Implementation of the "Exploiting Time-Frequency Conformers for Music Audio Enhancement" paper |
Declippers ⌂
Repository | Short description | Language | License | Last commit |
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Audio_declipping | Audio De-clipping Via Deep Learning | |||
audio-declipper | Audio Declipping with Social Sparsity | |||
declipnet | Declipping audio with deep learning technique (wavenet) |
Denoisers ⌂
Repository | Short description | Language | License | Last commit |
---|---|---|---|---|
Sekte | Reducing the Noise in the Audio Signal by Deep Learning Methods | |||
Audio-Denoiser | Audio Denoiser implemented by CNN and GAN | |||
Audio-Enhancement-via-ONMF | Code for "On audio enhancement via online non-negative matrix factorization" paper | |||
Audio De-noising | A simple yet very powerful noise remover and reducer using Wavelet Transform | |||
Denoise Network | Neural network for denoising audio recording |
Dereverbers ⌂
Repository | Short description | Language | License | Last commit |
---|---|---|---|---|
Learning Audio-Visual Dereverberation | Code for "Learning Audio-Visual Dereverberation" paper | |||
dereverberation-ml | It aims at using deep learning to retrieve effects from sets of data. | |||
Dereverb_MetricGAN-U | - | |||
audio_dereverberation | - | |||
Audio Reverb Removal with Pytorch | Code to train a custom time-domain autoencoder to dereverb audio | |||
Dereverberation | dereverberation |
Upscalers ⌂
Repository | Short description | Language | License | Last commit |
---|---|---|---|---|
AudioSuperResolution | Generate higher quality audio from a lower one, using Convolutional neural network. | |||
Audio Enhancement with Deep Learning | Denoising and upsampling audio files using DNN architectures such as autoencoders, SEGAN and WaveNet | |||
Audio Super Resolution Using Neural Networks | Audio super resolution using neural networks | |||
AudioSR-DeepUnfold | A deep learning-powered toolkit for super-resolution in sparse microphone arrays | |||
AudioSR | Versatile Audio Super-resolution at Scale | |||
AudioEnhancer | A neural network capable of upsampling audio | |||
DualCycleGAN | Official implementation of Nonparallel High-Quality Audio Super Resolution with Domain Adaptation and Resampling CycleGANs paper | |||
nuwave | A Diffusion Probabilistic Model for Neural Audio Upsampling | |||
nuwave2 | A General Neural Audio Upsampling Model for Various Sampling Rates | |||
Audio Super Resolution | Enhancment of Audio Quality (Bit-Depth and Sampling-Rate) using Deep Learning | |||
audio-gan | Audio super resolution gan | |||
audio-super-resolution-with-GAN | audio super resolution with GAN | |||
Deep Learning for Audio Super-Resolution | Reconstruct high-quality audio from low-quality signals |
Restorers ⌂
Repository | Short description | Language | License | Last commit |
---|---|---|---|---|
audio-repair | Nearest Neighbor Imputation to Repair Damaged Audio | |||
AudioPurify | Neural Network Approach to Audio Restoration | |||
upscalemp3 | Audio Super Resolution model to decompress mp3 into wav file with recovered frequencies built on a "ResUNet" style architecture | |||
Audio-Undistortion | Audio Signal Processing for Undistorting Audio Clips | |||
Apollo | Music repair method to convert lossy MP3 compressed music to lossless music | |||
Audio restoration using Auto-regressive filter | Restoring audio from random added clicks by detecting the click location | |||
Digital Audio Restoration | Click and pop removal using an autoregressive model (AR) and sinusoid + AR model | |||
DumbAI-AudioRestoration | Deep learning project to enhance audio quality of degraded compressed music files | |||
AudioDelossifier | Delossify compressed audio (mp3 and others) | |||
unalias | Can a neural net rectify audio that was undersampled without proper anti-aliasing? | |||
Stochastic-Restoration-GAN | Stochastic Restoration of Heavily Compressed Musical Audio using Generative Adversarial Networks in PyTorch | |||
Fat Llama | Upscales audio files using advanced audio processing techniques to enhance audio quality by upsampling and adding missing frequencies through FFT. | |||
GAN_decoded_audio_enhancement | Unofficial PyTorch Implementation of "Audio codec enhancement with generative adversarial networks" paper | |||
Grosbeak | Audio quality manipulation experiment using deep learning | |||
NMGAN | A GAN designed to upsample low-quality audio |
Speech Enhancers ⌂
Repository | Short description | Language | License | Last commit |
---|---|---|---|---|
AURAL_GAN+predictive_model | Aims to transform low-quality phone recordings into professional-quality audio using a Generative Adversarial Network (GAN) | |||
DeepFilterNet | A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) using on Deep Filtering | |||
Audio Enhancement and Denoising using Autoencoders | - |
Others ⌂
Repository | Short description | Language | License | Last commit |
---|---|---|---|---|
Audio-Enhancement-GAN | An audio enhancement system which uses GAN | |||
AudioEnhancer | A model that improve the quality of an audio. | |||
pyaudioenhance | Enhance audio by up-sampling and re-scaling | |||
Audio Cycle GAN | GAN improving poorly synthesized audio samples |