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Prerecorded laughter accompanying dialog in comedy TV shows encourages theaudience to laugh by clearly marking humorous moments in the show. We presentan approach for automatically detecting humor in the Friends TV show usingmultimodal data. Our model is capable of recognizing whether an utterance ishumorous or not and assess the intensity of it. We use the prerecorded laughterin the show as annotation as it marks humor and the length of the audience'slaughter tells us how funny a given joke is. We evaluate the model on episodesthe model has not been exposed to during the training phase. Our results showthat the model is capable of correctly detecting whether an utterance ishumorous 78% of the time and how long the audience's laughter reaction shouldlast with a mean absolute error of 600 milliseconds.

When to Laugh and How Hard? A Multimodal Approach to Detecting Humor and its Intensity