面壁智能社区大使开源了一个基于 ESP32-S3 的座舱式姿态仪项目,用 MiniCPM5-2B 生成 AI 塔台回复、VoxCPM2 合成无线电风格语音。飞行状态数据(高度、速度、航向、俯仰、滚转)会输入对话,塔台可据此指出请求与仪表读数的不一致。
Hold a button. Request landing. Hear an AI tower respond to your simulated flight state. ✈️🎙️ Powered by MiniCPM5-2B + VoxCPM2.
Meet an open-source build from our ambassador @emwstudio: an ESP32-S3 cockpit-style attitude indicator with simulated flight data, voice alerts, and push-to-talk conversations with an AI “tower.” 🎙️
🧠 MiniCPM5-2B gives the tower its responses.
Flight-state data, including altitude, speed, heading, pitch, and roll, is fed into the conversation. The tower can respond to the simulated aircraft’s situation and flag inconsistencies between your request and the instrument readings.
🔊 VoxCPM2 brings the tower’s voice to life.
Voice cloning from a reference recording, paired with radio-style filtering, background hiss, and a squelch tail, creates that familiar air-to-ground radio feel.
📡 Hold, speak, release.
The ESP32 sends audio over Wi-Fi to a Mac-side pipeline. Qwen3-ASR handles local speech recognition, MiniCPM5-2B generates the reply, and VoxCPM2 synthesizes audio that streams back to the device’s speaker.
🛠️ A creative community-built example of model capabilities meeting interactive hardware, with firmware and voice-pipeline code publicly available for others to explore and build on.
💻 Explore Project: http://github.com/emwstudio/esp32-attitude
🤗 Get Models:
https://huggingface.co/openbmb/MiniCPM5-2B
https://huggingface.co/openbmb/VoxCPM2
What would you build with MiniCPM + VoxCPM? 👀
#OpenBMB #MiniCPM #VoxCPM #OpenSource #ESP32
来源:OpenBMB · x.com