Selected Systems
Arabic Voice Intelligence
Voice AI systems built for the realities of spoken Arabic
Problem
Spoken Arabic spans formal and dialectal registers that shift by region — generic speech models trained mostly on English and Modern Standard Arabic text miss meaning that a native speaker would catch instantly.
System approach
Combined speech recognition tuned for dialectal variation with downstream language understanding, so transcribed speech is normalized into structured intent rather than left as raw, ambiguous text.
Outcome
A voice pipeline that treats Arabic as a first-class target, not an afterthought bolted onto an English-first system.