jungjee Goto Github PK

2021

ASVspoof 2021 Baseline Systems

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.

angular-penalty-softmax-losses-pytorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

april2022_trainer

asv2019_competition_jung

asvspoof_pa

augsumm

AugSumm: towards generalizable speech summarization using synthetic labels from large language models

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)

cpjku_dcase19

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.

espnet

End-to-End Speech Processing Toolkit

freesound-audio-tagging-2019

interspeech2023_t6

Advances in audio anti-spoofing and deepfake detection using graph neural networks and self-supervised learning

jekyll-theme-minimal-resume

This is a simple Jekyll theme for a minimal resume website: https://jekyll-theme-minimal-resume.netlify.com/

jungjee.github.io

kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

mce2018

An implementation of an open-set speaker recognition system for the 1st Multi-target speaker detection and identification Challenge Evaluation (MCE 2018)

membership

mfa_conformer

nist-sre-2019

Score Normalization for NIST 2019 Speaker Recognition Evaluation

pytorch-cosine-annealing-with-warmup

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

pytorch_xvectors

Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196

rawnet

Official repository for RawNet, RawNet2, and RawNet3

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)