Papers by Aswin Sivaraman
Detecting Extraneous Content in Podcasts (2021.eacl-main)
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| Challenge: | Podcast episodes often contain extraneous material interleaved within the audio and the written descriptions . authors present classifiers that leverage both textual and listening patterns to detect such content . |
| Approach: | They propose a classifier that leverages both textual and listening patterns to detect extraneous material in podcast descriptions and audio transcripts. |
| Outcome: | The proposed classifiers improve ROUGE scores and reduce extraneous content in podcast summarization tasks. |