Speech Interruption And Natural Pattern Handling

via “conversational-turn-detection-and-interruption-handling”

Speech-to-text API — Nova-2, real-time streaming, diarization, sentiment, 36+ languages.

Unique: Flux models are trained specifically on conversational speech patterns to detect natural turn boundaries without explicit silence thresholds — unlike generic STT models that require fixed timeout windows. Handles overlapping speech (interruptions) as a first-class feature rather than edge case.

vs others: More natural than Whisper or Google Cloud Speech-to-Text because turn detection is built into the model rather than requiring post-processing heuristics; eliminates latency from silence timeout windows.

via “voice activity detection and silence handling”