1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
- text-to-speech
- tts
- vits
- voice-clone
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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
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
A generative speech model for daily dialogue.
Easily train a good VC model with voice data <= 10 mins!
Instant voice cloning by MIT and MyShell. Audio foundation model.
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
A TTS model capable of generating ultra-realistic dialogue in one pass.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Open-source State-of-the-art TTS model which runs on a CPU 😻
A Conversational Speech Generation Model
Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice cloning.
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
Ming-3.0-tts is an open-source TTS model family with 0.5B dense and 7.9B-A1.3B MoE variants, supporting multilingual speech, voice cloning, voice design, and natural-language control.