1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
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Updated
Dec 19, 2024 - Python
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
A generative speech model for daily dialogue.
Instant voice cloning by MIT and MyShell.
🧠 Leon is your open-source personal assistant.
Translate the video from one language to another and add dubbing. 将视频从一种语言翻译为另一种语言,同时支持语音识别转录、语音合成、字幕翻译。
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
End-to-End Speech Processing Toolkit
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
A fast, local neural text to speech system
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key
High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code
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