Speechmatics Achieves a World First in Bilingual Voice AI with New Arabic–English Medical Model>

(BUSINESS WIRE)--Speechmatics today launched its new Arabic–English bilingual model, a single production-ready model that handles Arabic dialects and English simultaneously. It can be deployed on-premises and on-device, supports speaker diarization and speaker focus, and runs across real-time and batch workflows. As part of the rollout, Speechmatics introduces the world's first Arabic–English bilingual medical model: a specialized clinical variant trained on twice the vocabulary of its English Medical Model, built to ensure that patient records are always accurate and up to date. Code-switching: going beyond monolingual AI A doctor names a drug in English then switches back to Arabic. A Gulf contact center agent shifts registers without thinking. A finance officer moves across both languages in a single sentence. Across MENA, this is Monday morning. Monolingual models weren't built for this. When a speaker shifts between Arabic and English mid-sentence, the model loses the thread - misattributing words, dropping terminology, or simply getting it wrong. In a contact centre or a clinical setting, that's not an edge case. It's the norm...(BUSINESS WIRE)--Speechmatics today launched its new Arabic–English bilingual model, a single production-ready model that handles Arabic dialects and English simultaneously. It can be deployed on-premises and on-device, supports speaker diarization and speaker focus, and runs across real-time and batch workflows. As part of the rollout, Speechmatics introduces the world's first Arabic–English bilingual medical model: a specialized clinical variant trained on twice the vocabulary of its English Medical Model, built to ensure that patient records are always accurate and up to date. Code-switching: going beyond monolingual AI A doctor names a drug in English then switches back to Arabic. A Gulf contact center agent shifts registers without thinking. A finance officer moves across both languages in a single sentence. Across MENA, this is Monday morning. Monolingual models weren't built for this. When a speaker shifts between Arabic and English mid-sentence, the model loses the thread - misattributing words, dropping terminology, or simply getting it wrong. In a contact centre or a clinical setting, that's not an edge case. It's the norm...{}