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All digests tagged LiveKit
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Learn how to build a voice agent by integrating Speech-to-Text, LLMs, and Text-to-Speech. We demonstrate using AssemblyAI and LiveKit, including advanced features like tool calling and voice cloning.
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Building human-like voice agents requires focusing on the entire conversational flow, not just individual model components. Key strategies include measuring time to first audio, using async tool calls, and benchmarking the full stack with simulated callers.
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Jesse Hall explains that for voice agents, latency is a budget, but the goal is human-like conversation. He details why component leaderboards fail and how to build a robust, real-time pipeline.
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Unmute is an open declarative standard for voice agents that solves vendor lock-in and prompt fragility. By compiling agent behavior into portable packages, it ensures structural guarantees and portability across platforms like LiveKit and PipeChat.
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Building smarter voice agents requires managing complex challenges like subsecond latency, multi-party turn-taking, and user trust. The discussion contrasts structured healthcare flows with open networking interactions.
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Learn how to boost voice agent transcription accuracy with Agent Context Carryover. This feature automatically feeds conversational context into LiveKit's Universal 3.5 Pro model, simplifying complex AI integrations.
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