VALL-E-X
TTS model
A research implementation of Microsoft's VALL-E X zero-shot TTS model for multilingual text-to-speech synthesis and voice cloning
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/
8k stars
81 watching
767 forks
Language: Python
last commit: about 1 year ago emotional-speechgpttext-to-speechtransformer-architecturettsvall-evoice-clone
Related projects:
Repository | Description | Stars |
---|---|---|
| A PyTorch implementation of a text-to-speech synthesizer based on large language models | 2,062 |
| An implementation of VALL-E in PyTorch for text-to-speech synthesis | 2,970 |
| An AI system for generating human-like voices from text inputs, using deep learning techniques and pre-trained models. | 36,977 |
| An open-source project providing a suite of deep learning models and tools for advanced text-to-speech synthesis. | 9,466 |
| A deep learning toolkit for generating human-like speech from text | 36,118 |
| A deep learning-based speech synthesis model that generates natural-sounding audio with controlled prosody. | 2,551 |
| A deep learning model for generating human-like speech | 3,936 |
| An open-source text-to-speech engine with emotion synthesis and multiple voice options | 7,522 |
| A fast local neural text-to-speech system optimized for small devices | 7,002 |
| An audio-visual language model designed to understand and respond to video content with improved instruction-following capabilities | 2,842 |
| A plugin for Neovim that integrates with the ChatGPT API to generate natural language responses and assist with coding tasks. | 3,825 |
| Compiles and organizes key papers on pre-trained language models, providing a resource for developers and researchers. | 3,331 |
| A text-to-speech synthesizer that supports multiple languages and is compact in size. | 4,311 |
| Provides a unified framework to test generative language models on various evaluation tasks. | 7,200 |
| Guides software developers on how to effectively use and build systems around Large Language Models like GPT-4. | 8,487 |