5th International Conference on Spoken Language Processing
We propose a new discrimination schema for illocutionary acts using prosodic features based on experimental results. Given the transcribed sentence with contextual information, the subjects were able to identify correctly the sentence type of 85% of 290 sentences. With information about the intonation contour types, they could correctly identify 90% of illocutionary acts. We find evidence that illocutionary acts can be signaled by specific contour types. These typical contours are realized in the sentence final boundary tone; a neutral or falling tone for assertion and request, a rising tone for question. An intonation contour is then identified using an algorithm that calculates the range and slope of the upper and lower bounds of unwarped segmental contour, and matches these against predefined contour templates. This automated intonation contour classification, nearly 90% of illocutionary acts could be correctly identified. (URL: http://www.brl.ntt.co.jp/info/dug/)
Bibliographic reference. Tamoto, Masafumi / Kawabata, Takeshi (1998): "A schema for illocutionary act identification with prosodic feature", In ICSLP-1998, paper 1099.