Muslim: A Deployed Arabic Voice AI Platform for Grounded Islamic Knowledge
The paper reports a live Arabic voice assistant for Islamic knowledge, with released model artifacts and production metrics.
Muslim combines Arabic ASR, an OpenAI-compatible LLM endpoint, self-hosted TTS, and retrieval across six MCP servers to answer with grounded sources. The author says the system includes account limits, capacity-aware refusal, and deferred email verification to keep the public demo operable. Reported results include 98.4% recitation-validation accuracy on 124 cases and 0.9-1.7s end-to-end voice latency. Its TTS model, Fasih-TTS-V1, is reported as ranking 5th of 17 overall and 2nd of 11 open-weight systems on Arabic TTS Arena for Modern Standard Arabic. ArXiv · AI/CL/LG's note
Muslim combines Arabic ASR, an OpenAI-compatible LLM endpoint, self-hosted TTS, and retrieval across six MCP servers to answer with grounded sources. The author says the system includes account limits, capacity-aware refusal, and deferred email verification to keep the public demo operable. Reported results include 98.4% recitation-validation accuracy on 124 cases and 0.9-1.7s end-to-end voice latency. Its TTS model, Fasih-TTS-V1, is reported as ranking 5th of 17 overall and 2nd of 11 open-weight systems on Arabic TTS Arena for Modern Standard Arabic. ArXiv · AI/CL/LG's note
score 5