Know Who Said What in Arabic: Speaker Diarization Across ALL Dialects (Egyptian, Levant, Gulf)

See Speechmatics' industry-leading Arabic dialect recognition and real-time Speaker Diarization in action. In this demo, we use a have built using the Pipecat framework, a AI Voice Agent for food ordering to show how our technology accurately understands multiple speakers, even when they are speaking in different Arabic dialects—including Egyptian, Levantine, Gulf, and Modern Standard Arabic (MSA ). Our Speaker Diarization feature allows you to know not just what was said, but also who said it. Our models are trained on diverse dialects from across the world, ensuring your conversational AI agents can serve a truly global Arabic-speaking audience. Key Technology: * **Speaker Diarization:** Identify who said what in real-time, enabling speaker-aware AI applications. * **Arabic Dialect Recognition:** Superior accuracy across all major Arabic dialects (Egyptian, Gulf, Levantine, MSA, and more). * **Voice AI Agents:** Powering next-gen conversational experiences. Claim your free $200 credit: 1) 👤 Log in or signup to the Speechmatics Portal https://portal.speechmatics.com 2) 💳 Add a valid payment card (no charge until credit is used) 3) ✅ Complete billing setup to enable coupon 4) 🔑 Enter your code: ARABIC200 (Expires 2025-12-31) 5) 🚀 Start building with $200 free credit Start building your own multilingual, multi-speaker AI solutions today: 🔗 **AI Voice Agents Use Cases:** https://www.speechmatics.com/use-cases/ai-voice-agents 🔗 **Arabic Speech-to-Text Solutions:** https://www.speechmatics.com/speech-to-text/arabic 🔗 **GitHub Repo (For the code and demo details):** https://github.com/anthonyhsperera/Pipecat-Arabic-Agent-Sara 🔗 **Diarization Documentation:** https://docs.speechmatics.com/speech-to-text/features/diarization Happy building! #Speechmatics #VoiceAI #ArabicASR #SpeakerDiarization #Typekit #LiveKit #Pipecat