Iterative peer-editing with audio enables human summaries of conversational speech to match the informativeness of transcript summaries and LLM outputs.
We identified two potential tradeoffs in using humans Figure 5: Heatmap of the Pearson correlation between all of the different metrics calculated
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Beyond Transcripts: Iterative Peer-Editing with Audio Unlocks High-Quality Human Summaries of Conversational Speech
Iterative peer-editing with audio enables human summaries of conversational speech to match the informativeness of transcript summaries and LLM outputs.