Jong-Jin Kim's repositories
autovc
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
crank
A toolkit for non-parallel voice conversion based on vector-quantized variational autoencoder
Crossbow
Crossbow: A Multi-GPU Deep Learning System for Training with Small Batch Sizes
CVC
CVC: Contrastive Learning for Non-parallel Voice Conversion (submitted to ICASSP 2021, in PyTorch)
EA-SVC
An implement of "Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial Training"
efficient_tts
Pytorch implementation of "Efficienttts: an efficient and high-quality text-to-speech architecture"
Glow_TTS
An implement of GlowTTS model. Several modes are added: speaker embedding, prosody encoder(GST), and gradient reversal.
GPM
Official Code Repository for "Gradient Projection Memory for Continual Learning"
hifi-gan
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
hifigan-denoiser
HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
KoSpeech
Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.
libebur128
A library implementing the EBU R128 loudness standard.
magenta
Magenta: Music and Art Generation with Machine Intelligence
ngrest
Fast and easy C++ RESTful WebServices framework
pitchtron
TTS for pitch-accented language. Korean dialect DB.
PyTSMod
An open-source Python library for audio time-scale modification.
rainbow-memory
Official pytorch implementation of Rainbow Memory (CVPR 2021)
SC-GlowTTS
SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model
SC-WaveRNN
Official PyTorch implementation of Speaker Conditional WaveRNN
SkipVQVC
An implementation of SkipVQVC with various settings.
speaker_embeddings_GE2E
PyTorch Implementation of Generalized End-to-End Loss for Speaker Verification
Text-to-Speech
Tacotron + WaveRNN Vocoder
VocGAN
VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network
vq-vae-2-pytorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
VQ-VAE-Speech
PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]