maxime-leiber / dstftLinks
Differentiable short-time Fourier transform (DSTFT): Gradient-based parameters tuning for adaptive time-frequency representation. DSTFT is a neural network layer whose weights are its parameters (e.g. window and hop lengths).
☆48Updated 5 months ago
Alternatives and similar repositories for dstft
Users that are interested in dstft are comparing it to the libraries listed below
Sorting:
- Directional sparse filtering for blind speech separation☆10Updated 4 years ago
- A 1D implementation of a deformable convolutional layer in PyTorch with a few tricks.☆46Updated 2 years ago
- A self-supervised speech denoising strategy named Only-Noisy Training (ONT), which solves the speech denoising problem with only noisy au…☆72Updated 2 years ago
- ☆11Updated 3 months ago
- A pip installable package for optimal transport inspired loss functions in the spectral domain. Can be used for audio applications such a…☆25Updated last month
- AudioLDM training, finetuning, evaluation and inference.☆14Updated last year
- Joint Estimation of Frequency, Amplitude and Spectrum☆33Updated 2 years ago
- (TASLP 2022) Unsupervised speech enhancement using DVAEs☆23Updated 11 months ago
- Official implementation of Efficient Speech Separation Framework Based on Neural State-Space Models☆22Updated 2 years ago
- Official Pytorch implementation of PULSE: Positive–Unlabelled Learning for audio Signal Enhancement (Best Paper Award at ICASSP 2023)☆43Updated 2 years ago
- ☆30Updated 4 years ago
- ☆83Updated 3 months ago
- Tips for best practices with filterbanks☆42Updated 6 months ago
- [Not Official] Implementation DC-UNet, ICLR 2019☆56Updated last year
- DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement, Conference on Neural Information Processing Systems (NeurIPS), 2023☆59Updated 6 months ago
- Repository of published DNN speech separation recipes for a number of datasets☆12Updated last year
- An official documentation of the paper <Wave-U-Mamba: An End-To-End Framework For High-Quality And Efficient Speech Super Resolution>.☆24Updated last month
- Masked Spectrogram Modeling using Masked Autoencoders for Learning General-purpose Audio Representations☆96Updated last year
- ASiT: Audio Spectrogram vIsion Transformer for General Audio Representation☆28Updated last year
- Fast ICA algorithm for blind source separation☆52Updated last year
- Pytorch Reimplementation of DiffWave Vocoder: a high quality, fast, and small neural vocoder.☆91Updated 4 years ago
- ICASSP 2024 paper - A Fully Differentiable Model for Unsupervised Singing Voice Separation☆14Updated 9 months ago
- ☆23Updated 2 years ago
- Official implementation of EfficientLEAF, a learnable audio frontend.☆47Updated 3 years ago
- Tensorflow implementation of a CycleGAN with a 1D Convolutional Neural Network and Gated units with options for the residual connections,…☆23Updated 7 years ago
- [SLT'24] The official implementation of SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space Model☆131Updated last month
- Learning discriminative and robust time-frequency representations for environmental sound classification: Convolutional neural networks (…☆30Updated 5 years ago
- Short-Time Discrete Cosine Transform (DCT) for Python. SciPy, TensorFlow and PyTorch implementations.☆28Updated 4 years ago
- ☆38Updated last year
- Codebase of the submitted work in ICASSP 2023☆14Updated 3 years ago