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Introducing Flux Multilingual: One Conversational Speech Model for Global Voice Agents

Blog post from Deepgram

Post Details
Company
Date Published
Author
Martine Katz
Word Count
1,957
Language
English
Hacker News Points
-
Summary

Flux Multilingual introduces a groundbreaking conversational speech recognition model capable of supporting ten languages, including English, Spanish, and French, through a single API, offering monolingual-grade accuracy without the need for multiple models or complex routing layers. This innovation enables developers to build and deploy multilingual voice agents in real-time, with features like language detection, code-switching, and ultra-low latency, streamlining the process and eliminating traditional tradeoffs between accuracy and speed. The system simplifies global deployment by collapsing detection and per-language models into a unified architecture, allowing seamless language transitions and maintaining conversational performance without additional infrastructure. Available in both cloud API and self-hosted deployment modes, Flux Multilingual is designed to handle real-world audio scenarios effectively, with proven low word error rates and high end-of-turn accuracy, making it particularly suitable for industries requiring reliable multilingual interactions, such as financial services.