Tokenizer-free text-to-speech system generating 48kHz multilingual audio, voice design, and voice cloning.
Generate high-fidelity 48kHz speech across 30 languages with zero-shot voice design and zero-shot cloning.
VoxCPM is an open-source text-to-speech system designed to turn written text into natural multilingual audio. You can generate custom voices from text prompts or clone existing voices from short audio samples. It suits engineering teams building voice safety alerts, automated site briefing systems, or training narration.
VoxCPM generates continuous speech representations directly via a diffusion autoregressive architecture without discrete tokenization. It produces 48kHz studio-quality audio across 30 languages, supports voice creation from natural language descriptions, and executes voice cloning with prompt guidance.
You should use VoxCPM if you need self-hosted, offline voice generation for construction field alerts, worker safety broadcasts, or multi-language training videos. It is not suitable if you lack GPU infrastructure or need a turnkey non-technical desktop app.
Generates continuous speech directly using an end-to-end diffusion autoregressive architecture.
Creates custom voices based solely on text descriptions specifying age, tone, emotion, and pace.
Outputs native 48kHz studio audio without requiring separate external upsamplers.
Runs on OpenAI-compatible vLLM-Omni servers or C++ edge engines via llama.cpp-omni.
VoxCPM is free to download and use under the Apache-2.0 license. Your only expense comes from hosting, hardware execution, and GPU server infrastructure.
768 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
Yes, you can load downloaded model weights into local Python scripts or run offline via llama.cpp-omni on CPU or GPU.
Standard controllable cloning requires only a reference audio clip, though providing a transcript enables full detail matching.
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