Starred repositories
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
vits2 backbone with multilingual-bert
DSL Framework consisting of a DSL Engine and a Data-Binding Library used in Glimmer DSL for SWT (JRuby Desktop Development GUI Framework), Glimmer DSL for Opal (Pure Ruby Web GUI), Glimmer DSL for …
The Emotional Voices Database: Towards Controlling the Emotional Expressiveness in Voice Generation Systems
Singing Voice Conversion via diffusion model
Implementation of "MOSNet: Deep Learning based Objective Assessment for Voice Conversion"
SoftVC VITS Singing Voice Conversion
基于 Python3.5 和 Django 1.10 的 Django Blog 项目。
一个用于在 macOS 上平滑你的鼠标滚动效果或单独设置滚动方向的小工具, 让你的滚轮爽如触控板 | A lightweight tool used to smooth scrolling and set scroll direction independently for your mouse on macOS
This is the implementation of the paper "Emotion Intensity and its Control for Emotional Voice Conversion".
基于PyTorch的VITS-BigVGAN的tts中文模型，加入韵律预测模型。
vits chinese, tts chinese, tts mandarin 史上训练最简单，音质最好的语音合成系统
Multispeaker & Emotional TTS based on Tacotron 2 and Waveglow
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
A gorgeous responsive theme for Hugo blog framework
PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech
💻 🤖 A summary on our attempts at using Deep Learning approaches for Emotional Text to Speech 🔈
An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"
A PyTorch implementation of Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
This is the GitHub page for publicly available emotional speech data.
scene-oriented, flexible 3D engine (C++, Python, C#, Java)
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset