# 开发者基于 VoxCPM2 打造开源同声传译系统 VoxWeft，可在 Apple Silicon 上本地运行

- 来源：OpenBMB (@OpenBMB)
- 发布时间：2026-09-22 21:00
- AIHOT 分数：52
- AIHOT 链接：https://aihot.news/items/cmucovmvw0i6nroedrlqr05fw
- 原文链接：https://x.com/OpenBMB/status/2102382417990303863

## AI 摘要

OpenBMB 官方介绍，开发者 @HenryZ30734018 基于 VoxCPM2 的 MLX 实现打造了开源同声传译系统 VoxWeft，在 Apple Silicon 上实现端侧实时语音翻译，音频不出设备。

## 正文

🎙️ 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