adefossez / juliusLinks
Fast PyTorch based DSP for audio and 1D signals
☆446Updated 5 months ago
Alternatives and similar repositories for julius
Users that are interested in julius are comparing it to the libraries listed below
Sorting:
- Collection of audio-focused loss functions in PyTorch☆798Updated last year
- Perceptual Metrics of Audio - perceptually relevant loss function. DPAM and CDPAM☆368Updated 2 years ago
- LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks…☆512Updated 3 years ago
- Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.☆403Updated 4 years ago
- Audio transformations library for PyTorch☆233Updated 3 years ago
- Audio processing by using pytorch 1D convolution network☆1,080Updated 2 months ago
- Implementation of DDSP (PyTorch), Differentiable Digital Signal Processing (ICLR 2020)☆161Updated 4 years ago
- A fast, high-quality neural vocoder.☆290Updated 2 years ago
- An STFT/iSTFT for PyTorch.☆365Updated last year
- Python library for downloading, loading & working with sound datasets☆343Updated last week
- museval - source separation evaluation tools for python☆218Updated 2 months ago
- A library for speech data augmentation in time-domain☆668Updated 3 years ago
- Implementation of DiffWave and SaShiMi audio generation models☆125Updated 2 years ago
- Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.☆1,069Updated 6 months ago
- Pytorch implementation of the CREPE pitch tracker☆466Updated 2 months ago
- Benchmark popular audio i/o packages☆145Updated last year
- Implementation of Differentiable Digital Signal Processing (DDSP) in Pytorch☆481Updated last year
- Painless Wiener filters for audio separation☆187Updated 3 years ago
- Variational auto-encoders for audio☆124Updated 5 years ago
- Big Impulse Response Dataset☆149Updated 2 years ago
- A PyTorch implementation of DNN-based source separation.☆303Updated 3 years ago
- An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.☆361Updated 3 years ago
- ☆497Updated last year
- efficient neural audio synthesis in the waveform domain☆188Updated 3 months ago
- Improved Wave-U-Net implemented in Pytorch☆352Updated last year
- Gammatone-based spectrograms, using gammatone filterbanks or Fourier transform weightings.☆221Updated 2 years ago
- NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021☆284Updated 3 years ago
- A test bed for updates and new features | pytorch/audio☆169Updated 5 years ago
- Pitch Estimating Neural Networks (PENN)☆262Updated 4 months ago
- Audio Denoising with Deep Network Priors☆163Updated 4 years ago