EricAllen16's repositories
Speech-enhancement
Deep learning for audio denoising
rnnoise
Recurrent neural network for audio noise reduction
Conv-TasNet
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
deep_lip_reading
Code and models for evaluating a state-of-the-art lip reading network
lip-reading-deeplearning
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
Speech-Separation-Paper-Tutorial
A must-read paper for speech separation based on neural networks
TCN
Sequence modeling benchmarks and temporal convolutional networks
ReckOn
ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.
phy
phy: interactive visualization and manual spike sorting of large-scale ephys data
VAD
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
Awesome-Speech-Enhancement
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
Noises
Noise15 , Noisex-92 and Nonspeech
algorithm-pattern
算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~
LAVSE
Python codes for Lite Audio-Visual Speech Enhancement.
cnn_hardware_acclerator_for_fpga
This is a fully parameterized verilog implementation of computation kernels for accleration of the Inference of Convolutional Neural Networks on FPGAs
SpeechAlgorithms
Code of my WeChat Offical Account
Bi-Real-net
Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV
PyTorch_Speaker_Verification
PyTorch implementation of "Generalized End-to-End Loss for Speaker Verification" by Wan, Li et al.
Speaker_Verification
Tensorflow implementation of generalized end-to-end loss for speaker verification
BinaryNet.pytorch
Binarized Neural Network (BNN) for pytorch
XNOR-Net-PyTorch
PyTorch Implementation of XNOR-Net
TasNet
A PyTorch implementation of Time-domain Audio Separation Network (TasNet) with Permutation Invariant Training (PIT) for speech separation.
tensorflow-speech-recognition
🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
convolution_network_on_FPGA
CNN acceleration on virtex-7 FPGA with verilog HDL
mips-cpu
MIPS CPU implemented in Verilog
Caffe-Speaker-Recognition
CNN to recognize speaker on a spoken numbers dataset