leftthomas / SEGANLinks
A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
☆152Updated 5 years ago
Alternatives and similar repositories for SEGAN
Users that are interested in SEGAN are comparing it to the libraries listed below
Sorting:
- MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement (ICML 2019, with Travel awar…☆141Updated 4 years ago
- Speech separation with utterance-level PIT experiments☆104Updated 7 years ago
- Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF☆187Updated 6 years ago
- Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM☆118Updated 5 years ago
- Deep neural network based speech enhancement toolkit☆217Updated 6 years ago
- A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling…☆176Updated 5 years ago
- A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" (see recipes in aps framework https:/…☆213Updated 2 years ago
- Convolutional neural nets for single channel speech enhancement☆142Updated 4 years ago
- Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemente…☆221Updated 2 years ago
- Keras framework for speech enhancement using relativistic GANs☆52Updated 5 years ago
- Some useful features of speech process, such as MFCC, gammatone filterbank, GFCC, spectrum(power spectrum and log-power spectrum), Amplit…☆129Updated 5 years ago
- Speech Enhancement Generative Adversarial Network in PyTorch☆400Updated 2 years ago
- A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorc…☆332Updated 5 years ago
- Tensorflow implementation for Speech Enhancement (DDAE)☆48Updated 7 years ago
- SEGAN pytorch implementation https://arxiv.org/abs/1703.09452☆110Updated 6 years ago
- ☆131Updated 7 years ago
- ☆60Updated 4 years ago
- transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.☆284Updated 4 years ago
- Implementation of Neural PLDA (NPLDA) model (A discriminative backend for Speaker Verification)☆100Updated 5 years ago
- Tensorflow implementation of x-vector topology on top of Kaldi recipe☆119Updated 5 years ago
- A unofficial Pytorch implementation of Microsoft's PHASEN☆231Updated last year
- Neural network supported GEV beamformer☆207Updated 7 years ago
- PAGAN: a phase-adapted GAN for speech enhancement☆35Updated 4 years ago
- A pytorch implementation of xvector embedding☆79Updated 5 years ago
- Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.☆309Updated 3 years ago
- Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.☆336Updated 2 years ago
- deep clustering method for single-channel speech separation☆109Updated 3 years ago
- The state-of-art time domain network for speech separation, and it performs well on speech enhancement and music separation☆44Updated 6 years ago
- ☆46Updated 5 years ago
- Phase-Aware Speech Enhancement with Deep Complex U-Net☆85Updated 5 years ago