Voice Activity Detection and Turn Management in Conversational AI
Master voice activity detection algorithms, turn-taking strategies, overlapping speech handling, and silence threshold tuning to build natural-sounding conversational AI agents.
Step-by-step tutorials on building voice and chat AI agents using OpenAI Agents SDK, Realtime API, function calling, multi-agent orchestration, and production deployment patterns.
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Master voice activity detection algorithms, turn-taking strategies, overlapping speech handling, and silence threshold tuning to build natural-sounding conversational AI agents.
Learn how to handle user interruptions and barge-in events in voice agents with lifecycle management, audio muting, graceful cancellation, and response resumption strategies.
Build multi-language voice agents that detect the caller's language, perform agent handoffs between language-specific specialists, and maintain context across language transitions.
Add function tools to voice agents for booking appointments, searching databases, processing payments, and executing real-time actions with audio feedback during tool execution.
Build a comprehensive testing and QA pipeline for voice agents covering audio simulation, STT accuracy measurement, TTS quality evaluation, end-to-end conversation testing, and regression monitoring.
Connect your AI voice agents to real phone systems using SIP, Twilio, and WebSocket transport with the OpenAI Realtime API for inbound and outbound call handling.
Reduce voice agent latency to sub-second response times by optimizing STT, LLM inference, TTS pipelines, using streaming, caching, and predictive techniques.
Build a HIPAA-conscious voice agent for medical appointment scheduling with patient verification, EHR integration, and healthcare-specific conversation flows.