概要
VoxCPM2 是无分词器的文本转语音系统，采用扩散自回归架构。支持30种语言、语音设计、可控语音克隆及48kHz音频输出。基于MiniCPM骨干网络，20亿参数在200万小时数据上训练。
README プレビュー
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning\n\n\n English | 中文\n\n\n\n \n \n \n \n \n \n \n\n\n\n \n \n \n\n\n\n\n\n 👋 Join our community for discussion and support!\n \n \n Feishu\n \n | \n \n Discord\n \n\n\nVoxCPM is a **tokenizer-free** Text-to-Speech system that directly generates continuous speech representations via an end-to-end **diffusion autoregressive architecture**, bypassing discrete tokenization to achieve highly natural and expressive synthesis.\n\n**VoxCPM2** is the latest major release — a **2B** parameter model trained on **over 2 million hours** of multilingual speech data, now supporting **30 languages**, **Voice Design**, **Controllable Voice Cloning**, and **48kHz** studio-quality audio output. Built on a [MiniCPM-4](https://github.com/OpenBMB/MiniCPM) backbone.\n\n### ✨ Highlights\n\n- 🌍 **30-Language Multilingual** — Input text in any of the 30 supported languages and synthesize directly, no language tag needed\n- 🎨 **Voice Design** — Create a brand-new voice from a natural-language description alone (gender, age, tone, emotion, pace …), no reference audio required\n- 🎛️ **Controllable Cloning** — Clone any voice from a short reference clip, with optional style guidance to steer emotion, pace, and expression while preserving the original timbre\n- 🎙️ **Ultimate Cloning** — Reproduce every vocal nuance: provide both reference audio and its transcript, and the model continues seamlessly from the reference, faithfully preserving every vocal detail — timbre, rhythm, emotion, and style (same as VoxCPM1.5)\n- 🔊 **48kHz High-Quality Audio** — Accepts 16kHz reference audio and directly outputs 48kHz studio-quality audio via AudioVAE V2's asymmetric encode/decode design, with built-in super-resolution — no external upsampler needed\n- 🧠 **Context-Aware Synthesis** — Automatically infers appropriate prosody and expressiveness from text conte