ResearchPod Summary
Caption Studio is an integrated platform designed to transform raw audio and video into structured, searchable data. Unlike fragmented workflows that combine independent tools for transcription, speaker diarization, and sentiment analysis, Caption Studio unifies these processes into a single, three-layer architecture. The system is built on a FastAPI backend and provides a real-time dashboard, allowing users to monitor the entire pipeline from ingestion to final export.
The primary contribution of this work is its transparency-first design. In many speech analytics systems, missing or low-confidence data is often silently substituted with default values, leading to errors that are difficult to trace. Caption Studio addresses this by requiring every module to explicitly report whether an output is measured (directly from the signal), derived (calculated from other outputs), or unavailable. This provenance model ensures that users can distinguish between genuine analytical results and fallback behaviors, significantly improving the reliability of the generated insights.
The platform operates through three distinct layers:
By grounding speech analytics in a traceable framework, Caption Studio helps researchers and enterprise users avoid the pitfalls of opaque AI. It emphasizes that acoustic and linguistic features should be treated as evidence derived from recorded speech rather than direct measures of a speaker's internal state. This approach promotes more rigorous, responsible, and verifiable interpretation of audio data in professional and clinical settings.
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