Pinned Repositories
aasist
Official PyTorch implementation of "AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks"
voxceleb_trainer
In defence of metric learning for speaker recognition
espnet
End-to-End Speech Processing Toolkit
ASVspoof_PA
dcase2019specialistkd
PyTorch codes for implementation/reproduction of the experiments of our paper.
DcaseNet
Author's repository for reproducing DcaseNet, an integrated pre-trained DNN that performs acoustic scene classification, audio tagging, and sound event detection. Implemented using PyTorch.
INTERSPEECH2023_T6
Advances in audio anti-spoofing and deepfake detection using graph neural networks and self-supervised learning
RawNet
Official repository for RawNet, RawNet2, and RawNet3
SV_eval_protocols_for_SD
Speaker verification evaluation protocols simulating speaker diarisation
SASVC2022_Baseline
Baseline for the Spoofing-aware Speaker Verification Challenge 2022
Jungjee's Repositories
Jungjee/RawNet
Official repository for RawNet, RawNet2, and RawNet3
Jungjee/DcaseNet
Author's repository for reproducing DcaseNet, an integrated pre-trained DNN that performs acoustic scene classification, audio tagging, and sound event detection. Implemented using PyTorch.
Jungjee/INTERSPEECH2023_T6
Advances in audio anti-spoofing and deepfake detection using graph neural networks and self-supervised learning
Jungjee/SV_eval_protocols_for_SD
Speaker verification evaluation protocols simulating speaker diarisation
Jungjee/dcase2019specialistkd
PyTorch codes for implementation/reproduction of the experiments of our paper.
Jungjee/AugSumm
AugSumm: towards generalizable speech summarization using synthetic labels from large language models
Jungjee/2021
ASVspoof 2021 Baseline Systems
Jungjee/espnet
End-to-End Speech Processing Toolkit
Jungjee/pytorch-cosine-annealing-with-warmup
Jungjee/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.
Jungjee/April2022_trainer
Jungjee/Backends-for-SRE19
This repository will illustrate the use of some different backends on NIST SRE 2019.
Jungjee/conformer
PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
Jungjee/Jungjee.github.io
Jungjee/kaldi
kaldi-asr/kaldi is the official location of the Kaldi project.
Jungjee/membership
Jungjee/mfa_conformer
Jungjee/NIST-SRE-2019
Score Normalization for NIST 2019 Speaker Recognition Evaluation
Jungjee/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Jungjee/pytorch_xvectors
Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196
Jungjee/s3prl_segperb
s3prl_forked_for_segperb
Jungjee/sam
SAM: Sharpness-Aware Minimization (PyTorch)
Jungjee/SASVC2022_Baseline
Baseline for the Spoofing-aware Speaker Verification Challenge 2022
Jungjee/senet.pytorch
PyTorch implementation of SENet
Jungjee/shinjiwlab.github.io
Jungjee/spoofceleb
Jungjee/ssl-features-asv
Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features? An Interspeech 2024 paper.
Jungjee/titw
Jungjee/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
Jungjee/voxceleb_trainer
In defence of metric learning for speaker recognition