@FakeMaidenMaker: Explosive! This open-source project converts text to human-like voice for free, can clone anyone's voice, and adjust timbre with text! GitHub has garnered 30K stars, from Mianbao Intelligent OpenBMB, VoxCPM previously topped both GitHub and HuggingFace charts. Do...

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Summary

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.

Explosive! This open-source project converts text to human-like voice for free, can clone anyone's voice, and adjust timbre with text! GitHub has garnered 30K stars, from Mianbao Intelligent OpenBMB, VoxCPM previously topped both GitHub and HuggingFace charts. Those who do audiobooks, dubbing, and live commentary videos know best: TTS on the market either sounds robotic or gives itself away as soon as they open their mouths. VoxCPM2 is a 2B speech model trained on over two million hours of voice data. It can directly generate continuous speech, sounding natural and emotional. It has two amazing features: First, with just one sentence of voice sample, it can clone that person's timbre, even reproducing the rhythm and emotion; Second, you don't need to record; just describe in text like 'middle-aged male, deep, a bit slow' and it can create a completely new voice out of thin air. Supports 30 languages, including dialects like Sichuanese, Cantonese, and Shanghainese, outputting 48kHz studio-quality audio, and is commercially usable under Apache license. Deployment is also simple: just `pip install voxcpm` and you can start synthesizing. The entry barrier for dubbing has been lowered to the ground by it. GitHub:
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VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning

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