I was curious as to how TV/movie character speaking-time was distributed, so I built a tool to ingest datasets of subtitles and calculate the split. I also added „cumulative speaker-share plots“ across time, which help visualize how an episode/film’s speakers change throughout the content. For some titles, speaker data wasn’t available, so LLMs were used to infer the speaker with ~reasonable success (please feel free to flag any mistakes).
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I was curious as to how TV/movie character speaking-time was distributed, so I built a tool to ingest datasets of subtitles and calculate the split. I also added „cumulative speaker-share plots“ across time, which help visualize how an episode/film’s speakers change throughout the content. For some titles, speaker data wasn’t available, so LLMs were used to infer the speaker with ~reasonable success (please feel free to flag any mistakes).
Some interesting findings:
* Michael, Dwight + Jim make up ~half of [The Office](https://top-talkers.jamiepinheiro.com/title/the-office?shared=true)
* [Friends](https://top-talkers.jamiepinheiro.com/title/friends?shared=true) has a pretty even split between the leads
Check it out here! [top-talkers.jamiepinheiro.com](http://top-talkers.jamiepinheiro.com)
(Here’s the [raw dataset](https://top-talkers.jamiepinheiro.com/?raw=1). Each title’s underlying data-source is linked on [it’s page](https://top-talkers.jamiepinheiro.com/title/the-office) in the footer)
I find it very interesting the „other“ category in friends is so much smaller than the office.
https://preview.redd.it/bq2239l4nhdh1.jpeg?width=1206&format=pjpg&auto=webp&s=b93a3fac8a30d0bc3c3d13bf93995d833c33e591
lmao Wolf of wall street is basically all Jordan
Explains why I never liked Andy that much.
Disappointed you did Friends and the office and himym, but not seinfeld.