BaseSmartTurn
- class pipecat.audio.turn.smart_turn.base_smart_turn.SmartTurnParams(*, stop_secs=3, pre_speech_ms=0, max_duration_secs=8)[source]
Bases:
BaseModel- Parameters:
stop_secs (float)
pre_speech_ms (float)
max_duration_secs (float)
- stop_secs: float
- pre_speech_ms: float
- max_duration_secs: float
- model_config: ClassVar[ConfigDict] = {}
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
- exception pipecat.audio.turn.smart_turn.base_smart_turn.SmartTurnTimeoutException[source]
Bases:
Exception
- class pipecat.audio.turn.smart_turn.base_smart_turn.BaseSmartTurn(*, sample_rate=None, params=None)[source]
Bases:
BaseTurnAnalyzer- Parameters:
sample_rate (int | None)
params (SmartTurnParams | None)
- property speech_triggered: bool
Determines if speech has been detected.
- Returns:
True if speech is triggered, otherwise False.
- Return type:
bool
- append_audio(buffer, is_speech)[source]
Appends audio data for analysis.
- Parameters:
buffer (bytes) – The audio data to append.
is_speech (bool) – Indicates whether the appended audio is speech or not.
- Returns:
The resulting state after appending the audio.
- Return type:
EndOfTurnState
- async analyze_end_of_turn()[source]
Analyzes if an end of turn has occurred based on the audio input.
- Returns:
The result of the end of turn analysis.
- Return type:
EndOfTurnState
- clear()[source]
Reset the turn analyzer to its initial state.