面壁智能OpenBMB发布基于开源模型的Windows本地实时语音助手Whispera。该工具由开发者@caspianDev构建，集成SenseVoice ASR语音识别、llama-server本地LLM推理、VoxCPM流式TTS及Mem0长期记忆模块，实现从语音输入到自然语音回复的全本地化交互，无需云端API。项目代码已开源，基于VoxCPM2模型。
🎙️ Build with VoxCPM: Whispera — Your Local AI Voice Assistant
What if your AI assistant could listen, think, remember, and speak back to you in real time? 🤖✨
Developer @caspianDev built Whispera, a Windows-based local real-time voice assistant powered by open-source models.
With:
🎧 SenseVoice ASR for speech recognition
🧠 Local LLM inference with llama-server
🔊 VoxCPM for streaming TTS
📝 Mem0 for long-term memory
Whispera creates a fully local voice interaction experience — from hearing your voice to generating responses and speaking naturally back to you.
No cloud API required. Everything runs locally. 🚀
Huge thanks for building with VoxCPM! 🙌 Looking forward to seeing more possibilities unlocked by local AI agents and open-source voice technology.
🔗 Try it: https://github.com/maomao-2001/Whispera
Powered by VoxCPM:
🤗HuggingFace: https://huggingface.openbmb.com/model/openbmb/VoxCPM2
来源：OpenBMB · x.com