OpenBMB 介绍开发者构建的开源同声传译系统 VoxWeft，使用 VoxCPM2 的 MLX 实现在 Apple Silicon 上本地完成实时语音翻译，音频不上传以保护隐私。VoxCPM2 在 M5 MacBook 上约 170 ms 流出首段音频，支持 30 种语言免中转直接互译，可用约 5 秒参考音频克隆目标音色，并以 4-bit 量化在 MLX 上低延迟运行。
🎙️ Real-time interpretation, powered locally by VoxCPM2.
Developer @HenryZ30734018 built VoxWeft, an open-source simultaneous interpretation system for Apple Silicon. It uses an MLX implementation of VoxCPM2 to turn live speech into translated speech on-device, keeping audio private and responsive.
✨ Highlights:
⚡ VoxCPM2 streams first audio in ~170 ms on an M5 MacBook
🌍 Generates speech across 30 languages, supporting direct language-pair interpretation without a pivot
🗣️ Clones a target voice from ~5 seconds of reference audio for a consistent interpreted voice
💻 Runs in 4-bit quantization on MLX, making low-latency local speech generation practical on Apple Silicon
VoxWeft shows how VoxCPM2 can become the speech layer of a full real-time application: not just producing audio, but enabling private, multilingual interaction that stays on-device.
Try VoxCPM2 and see what you can build with it!
🔗GitHub:http://github.com/HenryZ838978/VoxWeft 🔗Devlog:http://github.com/HenryZ838978/VoxWeft/blob/main/docs/DEVLOG.md
🤗 VoxCPM2:http://huggingface.co/openbmb/VoxCPM2
来源：OpenBMB · x.com