Jesper-Jung

Pinned Repositories

hifigan
An 16kHz implementation of HiFi-GAN for soft-vc.
Language:Python10
accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
Language:Python00
AdaIN-VC
An unofficial implementation of the paper "One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization".
Language:Python00
AdaSpeech
AdaSpeech: Adaptive Text to Speech for Custom Voice
Language:Jupyter Notebook00
autovc
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Language:Python00
BVAE-TTS
Official implementation of BVAE-TTS
Language:Python00
contrastive-predictive-coding
PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)
Language:Python00
credits_public
Public version of Frums - Credits animation repository
Language:Python00
CREMA-D
Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)
Language:R00
DCTTS_original
Language:Python00

Jesper-Jung's Repositories

Jesper-Jung/Test_Repository
Language:Python
Jesper-Jung/TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Jesper-Jung/credits_public
Public version of Frums - Credits animation repository
Jesper-Jung/so-vits-svc
SoftVC VITS Singing Voice Conversion
Jesper-Jung/hifigan
An 16kHz implementation of HiFi-GAN for soft-vc.
1
Jesper-Jung/StyleFlow
StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)
Jesper-Jung/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Jesper-Jung/CREMA-D
Crowd Sourced Emotional Multimodal Actors Dataset (CREMA-D)
Jesper-Jung/BVAE-TTS
Official implementation of BVAE-TTS
Jesper-Jung/IconFlow
Code for "Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization", CVPR 2022.
Jesper-Jung/EmotionVC
Language:Python1
Jesper-Jung/vdvae
Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
Jesper-Jung/Recon_Melspectrogram
Language:Python
Jesper-Jung/Disentangle-VAE-for-VC
Jesper-Jung/accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
Jesper-Jung/contrastive-predictive-coding
PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)
Jesper-Jung/notebooks
Some notebooks for NLP
Jesper-Jung/refactoring-2nd-edition
마틴 파울러 님의 리팩토링을 읽고 정리한 레파지토리입니다.
Jesper-Jung/intro_dgm
An Introduction to Deep Generative Modeling: Examples
Jesper-Jung/AdaSpeech
AdaSpeech: Adaptive Text to Speech for Custom Voice
Jesper-Jung/autovc
AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Jesper-Jung/DCTTS_original
Language:Python
Jesper-Jung/AdaIN-VC
An unofficial implementation of the paper "One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization".
Jesper-Jung/Pytorch-Memory-Utils
pytorch memory track code
Jesper-Jung/mlp_preproc_dea
Language:Python
Jesper-Jung/kss
Jesper-Jung/Speaker-independent-emotional-voice-conversion-based-on-conditional-VAW-GAN-and-CWT
This is the implementation of our Interspeech 2020 paper "Converting anyone's emotion: towards speaker-independent emotional voice conversion".
Jesper-Jung/VectorQuantizedCPC
Vector-Quantized Contrastive Predictive Coding for Acoustic Unit Discovery and Voice Conversion
Jesper-Jung/transformer-evolution
Transformer 이후 나온 Pretrained Language Model을 간단하게 구현하였음.
Jesper-Jung/StarGAN-Voice-Conversion-2
A Pytorch implementation of StarGAN-VC2