A Faster Way to Build Voice Agents: The Speechmatics Voice SDK in 60s

Building a fast, natural voice agent isn’t just about speech recognition — it’s about managing turns, latency, and interruptions. In this video, we break down Speechmatics’ new Voice SDK, designed specifically for real-time voice agents, and how it simplifies the hardest parts of conversational Voice AI. You’ll see how the SDK: - Accumulates partials and finals cleanly during a user’s turn - Detects when someone has actually finished speaking - Reduces interruptions with smarter end-of-utterance handling - Focuses on the active speaker, even in noisy, multi-speaker environments - Makes it easier to pass speech output directly to your LLM and TTS pipeline The result: faster responses, smoother conversations, and less glue code for developers building production voice agents. Built with Speechmatics, delivering: 1) Low-latency real-time speech recognition 2) Reliable turn-taking for conversational AI 3) Voice agent tooling designed for real-world audio 🔗 Hands-on tutorials (Speechmatics Academy) https://github.com/speechmatics/speechmatics-academy 🔗 Explore real-time Speech-to-Text https://www.speechmatics.com/speech-to-text 🔗 Get started in the developer portal https://portal.speechmatics.com Follow Speechmatics 🔗 LinkedIn: https://www.linkedin.com/company/speechmatics 🔗 X (Twitter): https://x.com/speechmatics