OpenBMB 介绍基于 VoxCPM2 的开源同传系统 VoxWeft
开发者 @HenryZ30734018 基于 VoxCPM2 的 MLX 实现构建了开源同传系统 VoxWeft，可在 Apple Silicon 上端侧把实时语音转成译文语音，保持音频私密与低延迟。VoxCPM2 在 M5 MacBook 上约 170 ms 输出首段音频，支持 30 种语言直接语对翻译，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:github.com/HenryZ838978/VoxW… 🔗Devlog:github.com/HenryZ838978/VoxW…
🤗 VoxCPM2:huggingface.co/openbmb/VoxCP…
来源：OpenBMB · x.com