Jungjee's repositories
INTERSPEECH2023_T6
Advances in audio anti-spoofing and deepfake detection using graph neural networks and self-supervised learning
SV_eval_protocols_for_SD
Speaker verification evaluation protocols simulating speaker diarisation
dcase2019specialistkd
PyTorch codes for implementation/reproduction of the experiments of our paper.
AM-SincNet
The Additive Margin SincNet (AM-SincNet) is a new approach for speaker recognition problems which is based in the neural network architecture SincNet and the additive margin softmax (AM-Softmax) loss function. It uses the architecture of the SincNet, but with an improved AM-Softmax layer.
Backends-for-SRE19
This repository will illustrate the use of some different backends on NIST SRE 2019.
conformer
PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
kaldi
kaldi-asr/kaldi is the official location of the Kaldi project.
NIST-SRE-2019
Score Normalization for NIST 2019 Speaker Recognition Evaluation
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pytorch_xvectors
Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196
Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
s3prl_segperb
s3prl_forked_for_segperb
sam
SAM: Sharpness-Aware Minimization (PyTorch)
SASVC2022_Baseline
Baseline for the Spoofing-aware Speaker Verification Challenge 2022
senet.pytorch
PyTorch implementation of SENet
ssl-features-asv
Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features? An Interspeech 2024 paper.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
voxceleb_trainer
In defence of metric learning for speaker recognition