leftthomas / SEGAN
A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
☆133Updated 4 years ago
Related projects: ⓘ
- Convolutional neural nets for single channel speech enhancement☆141Updated 3 years ago
- Speech separation with utterance-level PIT experiments☆100Updated 6 years ago
- Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM☆111Updated 4 years ago
- MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement (ICML 2019, with Travel awar…☆131Updated 3 years ago
- Some useful features of speech process, such as MFCC, gammatone filterbank, GFCC, spectrum(power spectrum and log-power spectrum), Amplit…☆122Updated 4 years ago
- A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" (see recipes in aps framework https:/…☆207Updated last year
- Keras framework for speech enhancement using relativistic GANs☆53Updated 4 years ago
- A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling…☆166Updated 4 years ago
- Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF☆172Updated 5 years ago
- Deep neural network based speech enhancement toolkit☆209Updated 5 years ago
- transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.☆247Updated 3 years ago
- A unofficial Pytorch implementation of Microsoft's PHASEN☆221Updated 5 months ago
- target speaker extraction and verification for multi-talker speech☆155Updated 3 years ago
- ☆47Updated 4 years ago
- A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorc…☆310Updated 4 years ago
- ☆59Updated 3 years ago
- PAGAN: a phase-adapted GAN for speech enhancement☆34Updated 4 years ago
- SEGAN pytorch implementation https://arxiv.org/abs/1703.09452☆106Updated 5 years ago
- ☆131Updated 6 years ago
- Implementation of Neural PLDA (NPLDA) model (A discriminative backend for Speaker Verification)☆98Updated 4 years ago
- Speech Enhancement Generative Adversarial Network in PyTorch☆376Updated last year
- A pytorch implementation of xvector embedding☆78Updated 4 years ago
- Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.☆319Updated last year
- deep clustering method for single-channel speech separation☆108Updated 2 years ago
- Pytorch implementation of "Generalized End-to-End Loss for Speaker Verification"☆101Updated 5 years ago
- A light weight neural speaker embeddings extraction based on Kaldi and PyTorch.☆135Updated 4 years ago
- The state-of-art time domain network for speech separation, and it performs well on speech enhancement and music separation☆40Updated 5 years ago
- An open-source speech separation and enhancement library☆211Updated 4 years ago
- Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemente…☆211Updated last year
- Phase-Aware Speech Enhancement with Deep Complex U-Net☆81Updated 4 years ago