Saurabh's repositories
projected-distribution-loss
My implementation of Projected Distribution Loss (PDL)
PERL-samples
Enhanced samples from PERL-AE model (https://arxiv.org/abs/2010.11860)
awesome-speaker-recognition
This is an attempt to list interesting speaker recognition research works.
AutoSpeech
[Preprint] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang
awesome-bandwidth-expansion
This is an attempt to list interesting audio bandwidth expansion/super-resolution research works.
deep_complex_networks
Implementation related to the Deep Complex Networks
DemonRangerOptimizer
Quasi Hyperbolic Rectified DEMON Adam/Amsgrad with AdaMod, Gradient Centralization, Lookahead, iterative averaging and decorrelated Weight Decay
gpuRIR
Python library for Room Impulse Response (RIR) simulation with GPU acceleration
isegan
Improved Speech Enhancement GANs
jsalt-2019-mt-tutorial
MT Tutorial for the JSALT 2019 Summer School
JSALT19-GluonNLP
JSALT 2019 Montréal: Dive into Deep Learning for Natural Language Processing
jsalt2019-diadet
Repository of recipes for the JSALT2019 workshop on "Speaker Detection in Adverse Scenarios with a Single Microphone"
pysepm
Python implementation of performance metrics in Loizou's Speech Enhancement book
Quadruplets-Network
Implementation of the Quadruplets Network and Quadruplets Loss as described in "Beyond triplet loss: a deep quadruplet network for person re-identification" .
SEGAN-1
A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
segan-pytorch
SEGAN pytorch implementation https://arxiv.org/abs/1703.09452
segan_pytorch
Speech Enhancement Generative Adversarial Network in PyTorch
speech-denoising-wavenet
A neural network for end-to-end speech denoising
SpeechDenoisingWithDeepFeatureLosses
Speech Denoising with Deep Feature Losses
speedtest-cli
Command line interface for testing internet bandwidth using speedtest.net
voxceleb_trainer
In defence of metric learning for speaker recognition
Wave-U-Net-For-Speech-Enhancement
Improved speech enhancement with the Wave-U-Net. Applying Stoller et al's deep convolutional neural network architecture to speech enhancement in the time-domain.