Alternatives and similar repositories for julius

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

• csteinmetz1 / auraloss
  Collection of audio-focused loss functions in PyTorch
  ☆816Updated last year
• pranaymanocha / PerceptualAudio
  Perceptual Metrics of Audio - perceptually relevant loss function. DPAM and CDPAM
  ☆373Updated 2 years ago
• 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
• KinWaiCheuk / nnAudio
  Audio processing by using pytorch 1D convolution network
  ☆1,089Updated 5 months ago
• ivanvovk / WaveGrad
  Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.
  ☆404Updated 4 years ago
• Spijkervet / torchaudio-augmentations
  Audio transformations library for PyTorch
  ☆233Updated 3 years ago
• lmnt-com / wavegrad
  A fast, high-quality neural vocoder.
  ☆292Updated 2 years ago
• sweetcocoa / ddsp-pytorch
  Implementation of DDSP (PyTorch), Differentiable Digital Signal Processing (ICLR 2020)
  ☆163Updated 4 years ago
• acids-ircam / ddsp_pytorch
  Implementation of Differentiable Digital Signal Processing (DDSP) in Pytorch
  ☆492Updated 2 years ago
• sigsep / sigsep-mus-eval
  museval - source separation evaluation tools for python
  ☆225Updated 5 months ago
• iver56 / torch-audiomentations
  Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
  ☆1,100Updated 9 months ago
• pseeth / torch-stft
  An STFT/iSTFT for PyTorch.
  ☆366Updated 2 years ago
• maxrmorrison / torchcrepe
  Pytorch implementation of the CREPE pitch tracker
  ☆482Updated 5 months ago
• yjlolo / vae-audio
  Variational auto-encoders for audio
  ☆125Updated 5 years ago
• soundata / soundata
  Python library for downloading, loading & working with sound datasets
  ☆345Updated last month
• adobe / Deep-Audio-Prior
  Audio Source Separation Without Any Training Data.
  ☆164Updated last year
• sigsep / norbert
  Painless Wiener filters for audio separation
  ☆191Updated 3 years ago
• tky823 / DNN-based_source_separation
  A PyTorch implementation of DNN-based source separation.
  ☆305Updated 3 years ago
• Spijkervet / CLMR
  Official PyTorch implementation of Contrastive Learning of Musical Representations
  ☆335Updated last year
• FrancoisGrondin / BIRD
  Big Impulse Response Dataset
  ☆154Updated 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…
  ☆331Updated 2 years ago
• nttcslab / byol-a
  BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation
  ☆219Updated 2 years ago
• qiuqiangkong / torchlibrosa
  ☆503Updated last year
• facebookresearch / WavAugment
  A library for speech data augmentation in time-domain
  ☆676Updated 4 years ago
• detly / gammatone
  Gammatone-based spectrograms, using gammatone filterbanks or Fourier transform weightings.
  ☆224Updated 2 years ago
• interactiveaudiolab / penn
  Pitch Estimating Neural Networks (PENN)
  ☆267Updated 6 months ago
• f90 / Wave-U-Net-Pytorch
  Improved Wave-U-Net implemented in Pytorch
  ☆359Updated last year
• maum-ai / nuwave
  NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021
  ☆281Updated 3 years ago
• torchsynth / torchsynth
  A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.
  ☆360Updated last month
• faroit / python_audio_loading_benchmark
  Benchmark popular audio i/o packages
  ☆147Updated last year