Is there a way in Python to do paragraph segmentation based on topic of short texts that were created by speech-to-text?

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I have multiple transcripts of short vidoes, that were created by speech-to-text algorithm. I want to segment these transcripts into paragraphs, based on their content. I tried to use Texttilling in Python but for every such trial I got the "No paragraph breaks were found(text too short perhaps?)" error. I'm trying to see if there are other packages that can work with short transcripts and specifically for "spoken text" pieces. I also tried to manipulate the TextTilingTokenizer arguments but got the same error over and over again.

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