Alternatives and similar repositories for PerceptualAudio

Users that are interested in PerceptualAudio are comparing it to the libraries listed below

• sigsep / sigsep-mus-eval
  museval - source separation evaluation tools for python
  ☆230Updated 7 months ago
• pfnet-research / meta-tasnet
  A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation
  ☆138Updated last year
• Spijkervet / torchaudio-augmentations
  Audio transformations library for PyTorch
  ☆233Updated 3 years ago
• etzinis / sudo_rm_rf
  Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-R…
  ☆335Updated 2 years ago
• tky823 / DNN-based_source_separation
  A PyTorch implementation of DNN-based source separation.
  ☆308Updated 3 years ago
• lmnt-com / wavegrad
  A fast, high-quality neural vocoder.
  ☆295Updated 2 years ago
• adobe / Deep-Audio-Prior
  Audio Source Separation Without Any Training Data.
  ☆165Updated last year
• sigsep / norbert
  Painless Wiener filters for audio separation
  ☆192Updated 3 years ago
• RetroCirce / Zero_Shot_Audio_Source_Separation
  The official code repo for "Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data", in AAAI 2022
  ☆209Updated 3 years ago
• pseeth / torch-stft
  An STFT/iSTFT for PyTorch.
  ☆367Updated 2 years ago
• FrancoisGrondin / BIRD
  Big Impulse Response Dataset
  ☆155Updated 3 years ago
• interactiveaudiolab / penn
  Pitch Estimating Neural Networks (PENN)
  ☆269Updated 8 months ago
• adefossez / julius
  Fast PyTorch based DSP for audio and 1D signals
  ☆451Updated 10 months ago
• f90 / Wave-U-Net-Pytorch
  Improved Wave-U-Net implemented in Pytorch
  ☆359Updated last year
• faroit / python_audio_loading_benchmark
  Benchmark popular audio i/o packages
  ☆152Updated 2 years ago
• mpariente / pystoi
  Python implementation of the Short Term Objective Intelligibility measure
  ☆355Updated 2 years ago
• ivanvovk / WaveGrad
  Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.
  ☆406Updated 4 years ago
• maum-ai / nuwave
  NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021
  ☆282Updated 3 years ago
• csteinmetz1 / auraloss
  Collection of audio-focused loss functions in PyTorch
  ☆835Updated last year
• google-research / leaf-audio
  LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks…
  ☆516Updated 3 years ago
• maxrmorrison / torchcrepe
  Pytorch implementation of the CREPE pitch tracker
  ☆495Updated 7 months ago
• YatingMusic / ddsp-singing-vocoders
  Official implementation of SawSing (ISMIR'22)
  ☆269Updated 3 years ago
• adrienchaton / PerceptualAudio_Pytorch
  Pytorch implementation of "A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences", Pranay Manocha et al. - un…
  ☆64Updated 5 years ago
• craigmacartney / Wave-U-Net-For-Speech-Enhancement
  Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemente…
  ☆222Updated 2 years ago
• facebookresearch / BinauralSpeechSynthesis
  N/A
  ☆181Updated 3 years ago
• yjlolo / vae-audio
  Variational auto-encoders for audio
  ☆127Updated 5 years ago
• mosheman5 / DNP
  Audio Denoising with Deep Network Priors
  ☆163Updated 5 years ago
• francoisgermain / SpeechDenoisingWithDeepFeatureLosses
  Speech Denoising with Deep Feature Losses
  ☆189Updated 5 years ago
• sweetcocoa / ddsp-pytorch
  Implementation of DDSP (PyTorch), Differentiable Digital Signal Processing (ICLR 2020)
  ☆163Updated 5 years ago
• bshall / UniversalVocoding
  A PyTorch implementation of "Robust Universal Neural Vocoding"
  ☆238Updated 5 years ago