@Honcia13: Open-source TTS is going crazy! New weapons for industrial park scams? Tsinghua OpenBMB just released VoxCPM2: 20 billion parameters + 2 million hours of multilingual data training, 48kHz studio-quality sound! The most intense part is—no Tokenizer needed at all, performing diffusion autoregression directly in continuous latent space, maximizing detail retention!
Summary
Tsinghua University's OpenBMB has released VoxCPM2, an open-source multilingual TTS model with 20 billion parameters. It supports continuous latent space diffusion autoregressive generation without a Tokenizer, offering 48kHz studio-quality audio and powerful voice cloning and design capabilities.
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VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
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VoxCPM2 is an open-source speech synthesis model from OpenBMB, using a tokenizer-free diffusion autoregressive architecture, supporting 30 languages, voice design, and controllable voice cloning. It can clone a voice with just one sentence, or create a brand new voice using text, outputting 48kHz high-quality audio, and is commercially usable.
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Introducing VoxCPM2, a completely free for commercial use, open-source multilingual voice synthesis model supporting voice design, cloning, and 48kHz high-quality output, ranked #1 on GitHub trending.
OpenBMB/VoxCPM
OpenBMB releases VoxCPM2, a 2B-parameter tokenizer-free TTS model trained on 2M+ hours of multilingual speech data, supporting 30 languages, voice design, controllable cloning, and 48kHz output.
@hisevenih: The AI voice community is blown away. This GitHub open-source black tech takes AI voice to an insane level, truly achieving: one sentence, one voice. Remember this project name: VoxCPM2. It has already gained 20K stars on GitHub. Most incredibly, it doesn't even need a reference audio…
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