(LLM-Spotify) PODTILE: Podcast Auto-generated Chapters
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(LLM-Spotify) PODTILE: Podcast Auto-generated Chapters
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このコンテンツについて
Listeners of long-form talk-audio content, like podcasts, often find it challenging to understand structure and locate relevant sections. Most episodes lack creator-provided chapters, making automation essential.
Explore PODTILE, a novel system developed by Spotify addressing these challenges. Traditional methods struggle with podcasts' unstructured, conversational nature and lengthy transcripts. PODTILE employs a fine-tuned encoder-decoder transformer model that simultaneously segments and generates descriptive chapter titles. A key innovation is utilising global context – including episode metadata and previously generated titles – to maintain coherence and handle long-range dependencies for these long inputs efficiently.
This system enhances listener experience, particularly for less popular shows, by facilitating easier browsing. Deployed on Spotify's platform, it has shown significant increases in chapter-initiated plays. Furthermore, the auto-generated chapters improve episode discoverability by boosting search effectiveness. While acknowledging the subjective nature of chapterisation, PODTILE offers a powerful tool for podcast navigation.
Find the paper here