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docs: update for pipecat PR #4115 #641

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1 change: 1 addition & 0 deletions guides/learn/speech-input.mdx
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Original file line number Diff line number Diff line change
Expand Up @@ -76,6 +76,7 @@ In the vast number of cases, the default values will work well. Only adjust thes
- How much silence must be detected before confirming speech has stopped
- Critical for turn-taking behavior
- A short value (0.2s) allows STT services to finalize sooner, improving transcription speed
- **Important**: Built-in STT P99 latency values are measured with `stop_secs=0.2`. If you change this value, re-run the [stt-benchmark](https://github.com/pipecat-ai/stt-benchmark) with your settings and pass the measured latency to your STT service via `ttfs_p99_latency`

**`confidence` and `min_volume`**

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20 changes: 20 additions & 0 deletions server/utilities/turn-management/user-turn-strategies.mdx
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Expand Up @@ -228,6 +228,16 @@ from pipecat.turns.user_stop import SpeechTimeoutUserTurnStopStrategy
strategy = SpeechTimeoutUserTurnStopStrategy(user_speech_timeout=0.6)
```

<Note>
Built-in STT P99 latency values assume `VADParams.stop_secs=0.2` (the
recommended default). If you change `stop_secs`, the strategy will log a
warning suggesting you re-run the [stt-benchmark](https://github.com/pipecat-ai/stt-benchmark)
with your VAD settings and pass the measured TTFS P99 latency to your STT
service constructor via `ttfs_p99_latency`. The strategy will also warn if
`stop_secs >= STT p99 latency`, which collapses the STT wait timeout to 0s
and may cause delayed turn detection.
</Note>

### TurnAnalyzerUserTurnStopStrategy

Uses an AI-powered turn detection model to determine when the user has finished speaking. This provides more intelligent end-of-turn detection that can understand conversational context.
Expand All @@ -251,6 +261,16 @@ strategy = TurnAnalyzerUserTurnStopStrategy(
more information on available turn analyzers.
</Tip>

<Note>
Built-in STT P99 latency values assume `VADParams.stop_secs=0.2` (the
recommended default). If you change `stop_secs`, the strategy will log a
warning suggesting you re-run the [stt-benchmark](https://github.com/pipecat-ai/stt-benchmark)
with your VAD settings and pass the measured TTFS P99 latency to your STT
service constructor via `ttfs_p99_latency`. The strategy will also warn if
`stop_secs >= STT p99 latency`, which collapses the STT wait timeout to 0s
and may cause delayed turn detection.
</Note>

### ExternalUserTurnStopStrategy

Delegates turn stop detection to an external processor. This strategy listens for `UserStoppedSpeakingFrame` frames emitted by other components in the pipeline.
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