One model hallucinates during silence. So Sierra runs two. #Shorts
Sierra runs two transcription models in parallel to catch silence hallucinations and avoid single-provider limits.
“there is one model that has the highest quality transcription, but it hallucinates during silence more than other models. So we run two models in parallel.”
A Sierra engineer explains running multiple transcription models in parallel to handle edge cases like silence hallucination on thick accents, cross-checking outputs for reliability. They apply the same multi-provider strategy across LLMs (Claude, Gemini, GPT) and speech systems to avoid being capped by any single provider's limits, a practical engineering pattern for production voice AI.