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Voice activity detection (VAD)

Configures voice activity detection (VAD) in the Realtime API using either silence-based server VAD or semantic-based VAD to manage speech turn detection.

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Derived skill

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Viewing SKILL.md

Voice activity detection (VAD)

Configures voice activity detection (VAD) in the Realtime API using either silence-based server VAD or semantic-based VAD to manage speech turn detection.

When To Use

Use when you need to implement automatic speech turn detection or fine-tune how the Realtime API identifies when a user starts and stops speaking.

Reference Files

FileContainsUse For
SKILL.mdEntry point: scope, routing table, and workflow.Start here.
docs/voice-activity-detection-vad-workflow-guide.mdA guide explaining the implementation and configuration of server-side and semantic voice activity detection within the OpenAI Realtime API.Questions about a guide explaining the implementation and configuration of server-side and semantic voice activity detection within t...
examples/voice-activity-detection-vad-openai-realtime-vad-session-update-config.jsonA JSON configuration object for the session.update event to enable server-side voice activity detection with specific threshold and padding parameters.Exact payloads, commands, or snippets shown in A JSON configuration object for the session.update event to enable server-side voice activity detection with specific...
examples/voice-activity-detection-vad-openai-realtime-vad-session-update-configur.jsonA JSON object demonstrating the session.update configuration for semantic voice activity detection settings.Exact payloads, commands, or snippets shown in A JSON object demonstrating the session.update configuration for semantic voice activity detection settings.

What This Skill Covers

  • Voice activity detection (VAD)
  • Main sections: Overview, Server VAD, Semantic VAD.

Workflow

  1. Open the most relevant file under docs/ for the exact documented workflow and wording.
  2. Open schemas/ files for exact structured contracts.
  3. Open examples/ files for concrete requests, commands, snippets, and manifests.
  4. Do not add behavior or configuration that is not present in the attached source files.

Canonical source: https://developers.openai.com/api/docs/guides/realtime-vad.md