Vinay Kothapally's repositories
Array-Processing
Beamforming Techniques
Speech-Enhancement
A Multi-Channel Front End processing for speech enhancement
SkipConvNet-1
Speech Dereverberation using Fully Convolutional Networks
Conv-TasNet
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
cplxmodule
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
DCUnet.pytorch
Phase-Aware Speech Enhancement with Deep Complex U-Net
DCUNetTorchSound
Implementation of Phase-aware speech enhancement with deep complex U-Net
DeepComplexUNetPyTorch
Implementation of Deep Complex UNet Using PyTorch
einops
Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)
github-cheat-sheet
A list of cool features of Git and GitHub.
padasip
Python Adaptive Signal Processing
python-audio-effects
Apply audio effects such as reverb and EQ directly to audio files or NumPy ndarrays.
pytorch-stft
An STFT/iSTFT for PyTorch.
Research-and-Analysis-of-Speech-Enhancement-or-Dereverberation
This repository contains some material of speech enhancement and dereverberation. On the one hand, I summarize this work for my further understanding. On the other hand, I hope that all beginners or masters interested in speech enhancement can ask me questions and make progress together. A lot of my summary is not very good, I hope you put forward corrections!
Reverb
Reverberated Speech Simulation and Analysis
roc-star
Loss function which directly targets ROC-AUC
SciencePlots
Format Matplotlib for scientific plotting
speech_feature_extractor
Some useful features of speech process, such as MFCC, gammatone filterbank, GFCC, spectrum(power spectrum and log-power spectrum), Amplitude Modulation Spectrum(AMS) and so on.