Deepgram Launches Flux Multilingual: The World’s First Multilingual Conversational Speech Recognition Model
Blog post from Deepgram
Deepgram has introduced Flux Multilingual, the world's first multilingual conversational speech recognition model, designed to support 10 languages with monolingual-grade accuracy and real-time language control. This model allows developers and enterprises to build voice agents capable of operating globally without needing to integrate multiple models or complex routing systems. Flux Multilingual offers ultra-low latency and native support for turn-taking, interruptions, and code-switching, ensuring fluid and responsive conversations across languages. By providing a single API and model, it simplifies the development and deployment of global voice agents, enabling seamless interactions in any market. Deepgram's innovation in real-time AI infrastructure is set to transform how enterprises interact with customers worldwide, offering a cohesive and natural conversational experience.
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