AUDIO · Voice & Speech
Zero-Shot Ultra-Realistic Voice Cloning across 30+ Languages & 9 Chinese Dialects with VoxCPM2
VoxCPM2 is an open-source end-to-end audio foundation model by Tsinghua and ModelBest. With just a few seconds of reference audio, it achieves zero-shot cloning across 30+ global languages and 9 Chinese dialects (Cantonese, Sichuanese, Minnan, Wu, etc.) with lifelike breathing, natural pauses, and emotional nuances.
CORE TOOLS
VoxCPM2 (Open Source), Python, PyTorch, Gradio WebUI
BEST FOR
Content creators, cross-border marketers, game audio designers, audiobook narrators, cultural preservationists
REQUIREMENTS
PC or server with Python 3.10+ and an Nvidia GPU with at least 8GB VRAM (RTX 3060/4060 or better).
✦ WHY THIS WORKFLOW
Traditional open-source TTS models struggle with non-standard dialects and multilingual cross-synthesis, sounding robotic. VoxCPM2 provides state-of-the-art native dialect support and zero-shot multi-language expression with lifelike human cadence.
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Interactive Workflow Animation Preview
Step-by-Step Action Checklist
0 / 4 Completed
READY-TO-USE PROMPT TEMPLATE
I am using the open-source VoxCPM2 for cross-lingual and dialect voice cloning. Please provide a production SOP and batch Python script: 1) [Reference Audio Prep]: ffmpeg/Demucs cleaning commands to isolate dry vocal clips for maximum cloning accuracy; 2) [Dialect & Language Prompt Rules]: Formatting tips and pronunciation tagging for natural cadence in Cantonese and Sichuan dialects; 3) [Batch Inference Script]: A Python automation script reading `scripts.csv` (filename, character, dialect, text) to batch synthesize audio tracks and export organized WAV files.