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
  ☆772Updated 8 months ago
• pranaymanocha / PerceptualAudio
  Perceptual Metrics of Audio - perceptually relevant loss function. DPAM and CDPAM
  ☆360Updated 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…
  ☆506Updated 3 years ago
• Spijkervet / torchaudio-augmentations
  Audio transformations library for PyTorch
  ☆230Updated 2 years ago
• KinWaiCheuk / nnAudio
  Audio processing by using pytorch 1D convolution network
  ☆1,057Updated last year
• ivanvovk / WaveGrad
  Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.
  ☆402Updated 3 years ago
• lmnt-com / wavegrad
  A fast, high-quality neural vocoder.
  ☆279Updated last year
• asteroid-team / torch-audiomentations
  Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
  ☆1,020Updated 2 months ago
• sigsep / sigsep-mus-eval
  museval - source separation evaluation tools for python
  ☆207Updated 9 months ago
• facebookresearch / WavAugment
  A library for speech data augmentation in time-domain
  ☆656Updated 3 years ago
• qiuqiangkong / torchlibrosa
  ☆486Updated 9 months ago
• sigsep / norbert
  Painless Wiener filters for audio separation
  ☆184Updated 3 years ago
• facebookresearch / CPC_audio
  An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.
  ☆359Updated 3 years ago
• interactiveaudiolab / penn
  Pitch Estimating Neural Networks (PENN)
  ☆248Updated 8 months ago
• maxrmorrison / torchcrepe
  Pytorch implementation of the CREPE pitch tracker
  ☆432Updated 9 months ago
• faroit / python_audio_loading_benchmark
  Benchmark popular audio i/o packages
  ☆140Updated last year
• maum-ai / nuwave2
  NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates @ INTERSPEECH 2022
  ☆286Updated last year
• soundata / soundata
  Python library for downloading, loading & working with sound datasets
  ☆333Updated 5 months ago
• FrancoisGrondin / BIRD
  Big Impulse Response Dataset
  ☆146Updated 2 years ago
• pfnet-research / meta-tasnet
  A PyTorch implementation of Meta-TasNet from "Meta-learning Extractors for Music Source Separation
  ☆138Updated 8 months ago
• tky823 / DNN-based_source_separation
  A PyTorch implementation of DNN-based source separation.
  ☆297Updated 3 years ago
• acids-ircam / ddsp_pytorch
  Implementation of Differentiable Digital Signal Processing (DDSP) in Pytorch
  ☆466Updated last year
• DavidDiazGuerra / gpuRIR
  Python library for Room Impulse Response (RIR) simulation with GPU acceleration
  ☆515Updated 2 months ago
• sweetcocoa / ddsp-pytorch
  Implementation of DDSP (PyTorch), Differentiable Digital Signal Processing (ICLR 2020)
  ☆156Updated 4 years ago
• NVIDIA / CleanUNet
  Official PyTorch Implementation of CleanUNet (ICASSP 2022)
  ☆308Updated last year
• JorisCos / LibriMix
  An open source dataset for source separation
  ☆410Updated last year
• f90 / Wave-U-Net-Pytorch
  Improved Wave-U-Net implemented in Pytorch
  ☆330Updated 8 months ago
• adobe / Deep-Audio-Prior
  Audio Source Separation Without Any Training Data.
  ☆159Updated 11 months ago
• keunwoochoi / torchaudio-contrib
  A test bed for updates and new features | pytorch/audio
  ☆169Updated 4 years ago
• maum-ai / nuwave
  NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021
  ☆282Updated 2 years ago