AI Voice
Focused ai voice articles with clear context, practical examples, source links where needed, and honest limits.
5 articles in this section.
Preparing for the GPT-Live API: what voice developers should build first
GPT-Live is rolling out in ChatGPT first, while API access is planned and developers can register for updates. Build provider-neutral audio capture, interruption, consent, logging, and test harnesses before binding to model-specific events.
Safety checklist for real-time AI voice applications
OpenAI says GPT-Live adds audio-native evaluations, runtime safeguards, teen protections, and predefined voices rather than impersonation. Add live output controls, escalation paths, age-aware behavior, and post-launch monitoring.
GPT-Live delegation architecture: fast voice with deeper reasoning in the background
GPT-Live separates continuous conversation from deeper work and can delegate search or reasoning to a frontier model. Represent delegated work as cancellable tasks with visible status and stale-result checks.
Voice turn detection without awkward interruptions: lessons from GPT-Live
GPT-Live is designed for continuous listening, natural acknowledgements, interruptions, and longer pauses. Test with accents, traffic noise, slow speakers, and users who interrupt mid-sentence.
GPT-Live full-duplex voice explained for application developers
GPT-Live uses a full-duplex architecture that can listen and speak continuously and make interaction decisions many times per second. Design conversation state around overlapping input and output instead of request-response turns.