bridgeciao's Stars
hindupuravinash/the-gan-zoo
A list of all named GANs!
peisuke/AutoVC.pytorch
freenowill/AutoVC-WavRNN
voice conversion system
ktho22/vctts
pytorch implementation of "Emotional Voice Conversion using Multitask Learning with Text-to-Speech", Accepted to ICASSP 2020
dragen1860/Deep-Learning-with-PyTorch-Tutorials
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
dipjyoti92/StarGAN-Voice-Conversion
A Pytorch implementation of StarGAN-VC (Better Audio Quality)
apachecn/ailearning
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
RedstoneWill/HsuanTienLin_MachineLearning
Oscarshu0719/pytorch-StarGAN-VC2
A PyTorch implementation of StarGAN-VC2.
ryankiros/layer-norm
Code and models from the paper "Layer Normalization"
getlantern/lantern
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 - Быстрый, надежный и безопасный доступ к открытому интернету - lantern proxy vpn censorship-circumvention censorship gfw accelerator پراکسی لنترن، ضدسانسور، امن، قابل اعتماد و پرسرعت
NVlabs/MUNIT
Multimodal Unsupervised Image-to-Image Translation
tli725/JL-Corpus
For further understanding the wide array of emotions embedded in human speech, we are introducing an emotional speech corpus. In contrast to the existing speech corpora, this corpus was constructed by maintaining an equal distribution of 4 long vowels in New Zealand English. This balance is to facilitate emotion related formant and glottal source feature comparison studies. Also, the corpus has 5 secondary emotions along with 5 primary emotions. Secondary emotions are important in Human-Robot Interaction (HRI), where the aim is to model natural conversations among humans and robots. But there are very few existing speech resources to study these emotions,and this work adds a speech corpus containing some secondary emotions.
numediart/EmoV-DB
The Emotional Voices Database: Towards Controlling the Emotional Expressiveness in Voice Generation Systems
SamuelBroughton/Mel-Cepstral-Distortion
Calculation of MCD (dB) between two speech waveforms
XX-net/XX-Net
A proxy tool to bypass GFW.
TheShadow29/VC-with-GAN
Voice Conversion with GANs
SamuelBroughton/StarGAN-Voice-Conversion
Pytorch implementation of StarGAN-VC.
bigpon/vcc20_baseline_cyclevae
Voice Conversion Challenge 2020 CycleVAE baseline system
SamuelBroughton/StarGAN-Voice-Conversion-2
A pytorch implementation of StarGAN-VC2
marcoppasini/MelGAN-VC
MelGAN-VC: Voice Conversion and Audio Style Transfer on arbitrarily long samples using Spectrograms
w102060018w/Adversarial-General-Voice-Conversion
didi/DoKit
一款面向泛前端产品研发全生命周期的效率平台。
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
egorzakharov/PerceptualGAN
Pytorch implementation of Image Manipulation with Perceptual Discriminators paper
hujinsen/pytorch-StarGAN-VC
Fully reproduce the paper of StarGAN-VC. Stable training and Better audio quality .
alpharol/Voice_Conversion_CycleGAN2
A Tensorflow implementation of CycleGAN-VC2
jjery2243542/one-shot-vc-demo
GZJAS/tacotron_speech_synthesis
Implementation of Tacotron: Towards end to end speech synthesis (https://arxiv.org/abs/1703.10135)
tolstikhin/adagan
AdaGAN: greedy iterative procedure to train mixtures of GANs