Capability
Speech Interruption And Natural Pattern Handling
4 artifacts provide this capability.
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1
Deepgram APIAPI38/100
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.