important-judge-78504
09/15/2025, 9:01 PMAgentSession with the turn detection model (VAD+STT fusion). Is there a way to access the turn boundary metadata it produces — e.g. start/end timestamps or utterance spans — so I can align recorded audio with the final transcripts? Right now I only see UserInputTranscribedEvent with is_final=True, but I’m not sure if that’s the best/only signal for utterance segmentation.tall-airline-16756
09/15/2025, 9:01 PMtall-airline-16756
09/15/2025, 9:02 PMAgentSession when using the turn detection model (VAD+STT fusion). Here are a couple of ways you can do this:
• Turn Start/End Timestamps: You can use the on_end_of_turn callback through the RecognitionHooks interface. This will give you useful metadata like the end-of-speech timestamp (last_speaking_time) and the final transcript details.
• Per-Word Timing: By enabling use_tts_aligned_transcript=True in your session configuration and implementing the transcription_node method, you’ll receive streamed TimedString objects that include start and end times for each word or phrase.
If you'd like, I’d be more than happy to walk you through how to set up either of these methods in detail. Just let me know!
Sources: livekit-plugins/livekit-plugins-turn-detector/README.md | Text and transcriptions | LiveKit Docsimportant-judge-78504
09/15/2025, 9:04 PMtall-airline-16756
09/15/2025, 9:05 PMon_start_of_speech callback within the RecognitionHooks interface. This callback activates when the user transitions from 'listening' to 'speaking', so you can easily record the current time as the start of speech.
• Stop Timestamp: Similarly, the on_end_of_speech callback in the same interface will trigger when the user stops speaking. The last_speaking_time field then gives you the adjusted end-of-speech timestamp, considering any silence detected by VAD or STT.
If you'd like, I’d be happy to walk you through how to implement these callbacks in your session configuration. Just let me know!
Sources: Turn detection and interruptions | LiveKit Docs | livekit-plugins/livekit-plugins-aws/livekit/plugins/aws/experimental/realti... | AssemblyAI integration guide | LiveKit Docsimportant-judge-78504
09/15/2025, 9:07 PMtall-airline-16756
09/15/2025, 9:07 PMAgentSession is by using the user_state_changed event, rather than on_start_of_speech. This event fires whenever the user's state changes, including the moment they start speaking. So, when you see the new_state set to "speaking", that's your signal that speech has begun.
If you'd like, I can guide you through how to implement user_state_changed to capture these timestamps smoothly. Just let me know!
Sources: Agents v0.x migration guide - Node.js | LiveKit Docs | Agents 0.x migration guide | LiveKit Docs | livekit-agents/livekit/agents/voice/audio_recognition.py | plugins/deepgram/src/stt.ts | Turn detection and interruptions | LiveKit Docsimportant-judge-78504
09/15/2025, 9:09 PM