ALM-LAB/PACE
PACE (Podcast AI for Chapters and Episodes) is a semantic search engine that helps you find the information you need, inter- and intra-podcasts (Project for the AssemblyAI Winter 2022 Hackathon).
PACE helps podcast listeners quickly find specific information within and across podcasts without remembering exact timestamps. You input a natural language search query, and it returns relevant podcast episodes and precise chapter segments, along with automatically generated cover art for each chapter. This is for anyone who listens to podcasts and needs to reference specific discussions or topics.
No commits in the last 6 months.
Use this if you frequently listen to podcasts and struggle to locate specific points of interest or discussions within long episodes.
Not ideal if you primarily consume short-form audio content or rarely need to search for specific details within podcasts.
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Python
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Last pushed
Dec 11, 2022
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