Paper: Humor: Prosody Analysis And Automatic Recognition For F*R*I*E*N*D*S*

ACL ID W06-1625
Title Humor: Prosody Analysis And Automatic Recognition For F*R*I*E*N*D*S*
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2006
Authors

We analyze humorous spoken conversa- tions from a classic comedy television show, FRIENDS, by examining acoustic- prosodic and linguistic features and their utility in automatic humor recognition. Using a simple annotation scheme, we au- tomatically label speaker turns in our cor- pus that are followed by laughs as hu- morous and the rest as non-humorous. Our humor-prosody analysis reveals sig- nificant differences in prosodic character- istics (such as pitch, tempo, energy etc.) of humorous and non-humorous speech, even when accounted for the gender and speaker differences. Humor recognition was carried out using standard supervised learning classifiers, and shows promising results significantly above the baseline.