Deepgram announced the launch of Flux, positioning it as “the world’s first conversational speech recognition (CSR) model” built specifically for real-time voice agents, a major leap beyond traditional automatic speech recognition (ASR) which was primarily designed for transcription tasks. Flux is trained to grasp the intricacies of dialogue it discerns when a speaker has finished, when to respond, and how to maintain conversational flow thereby embedding turn-taking directly into the recognition process and eliminating the need for fragmented workarounds that cause latency and errors.
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With features such as ~260ms end-of-turn detection, context-aware turn detection, GPU-efficient concurrency, and enterprise-grade scalability, Flux promises lightning-fast performance and streamlined development for voice AI systems. “For decades, ASR was built to listen and record. Deepgram Flux is different it listens, understands, and guides conversations with human-like timing,” the company states. The launch coincides with Deepgram’s “OktoberFLUX” promotion, offering free access throughout October for up to 50 concurrent connections, allowing developers to explore its capabilities without cost. Target users include voice AI builders, enterprise innovators, and ecosystem partners seeking to infuse real-time conversational intelligence into their systems.