Pinned Repositories
3d.github.io
ASAM
This is the code&dataset for our paper [Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. AAAI 2018]
asru2021.github.io
3D spatial features
asteroid
The PyTorch-based audio source separation toolkit for researchers || Pretrained models available
CountNet
Deep Neural Network for Speaker Count Estimation
cplxmodule
A lightweight extension for pytorch that implements complex-valued layers and bayesian sparsification for them.
DANet
Dual Attention Network for Scene Segmentation
moplast.github.io
TASNET
Time-domain Audio Separation Network
TasNet-tensorflow
A tensorflow implementation of TasNet (ICASSP 2018)
Moplast's Repositories
Moplast/TasNet-tensorflow
A tensorflow implementation of TasNet (ICASSP 2018)
Moplast/moplast.github.io
Moplast/TASNET
Time-domain Audio Separation Network
Moplast/3d.github.io
Moplast/ASAM
This is the code&dataset for our paper [Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. AAAI 2018]
Moplast/asru2021.github.io
3D spatial features
Moplast/asteroid
The PyTorch-based audio source separation toolkit for researchers || Pretrained models available
Moplast/CountNet
Deep Neural Network for Speaker Count Estimation
Moplast/cplxmodule
A lightweight extension for pytorch that implements complex-valued layers and bayesian sparsification for them.
Moplast/DANet
Dual Attention Network for Scene Segmentation
Moplast/DaNet-Tensorflow
Tensorflow implementation of "Speaker-independent Speech Separation with Deep Attractor Network"
Moplast/dc_integration
Tight integration of spatial and spectral features for BSS with Deep Clustering embeddings
Moplast/gcc-nmf
Real-time GCC-NMF Blind Speech Separation and Enhancement
Moplast/hopcs
Moplast/huxpro.github.io
My Blog / Jekyll Themes / PWA
Moplast/InnerSelf
Experiments & Papers & Research tips
Moplast/kaldi
This is now the official location of the Kaldi project.
Moplast/ladder
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
Moplast/Machine-Learning-Ex
My first machine learning exercise.
Moplast/models
Models and examples built with TensorFlow
Moplast/multisensory
Code for the paper: Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
Moplast/Nabu-MSSS
Code for Multi Speaker Source Separation with neural networks, build with TensorFlow
Moplast/nn-gev
Neural network supported GEV beamformer
Moplast/SE_DCUNet
Deep Complex UNet for speech enhancement, init from "https://github.com/chanil1218/DCUnet.pytorch"
Moplast/SincNet
SincNet is a neural architecture for efficiently processing raw audio samples.
Moplast/SpectralNet
Deep network that performs spectral clustering
Moplast/tensorflow-vrnn
A variational recurrent neural network implementation in tensorflow
Moplast/VAD
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
Moplast/voicefilter
Unofficial PyTorch implementation of Google AI's VoiceFilter system