4th International Conference on Spoken Language Processing

Philadelphia, PA, USA
October 3-6, 1996

Pitch Pattern Clustering of User Utterances in Human-Machine Dialogue

Takashi Yoshimura, Satoru Hayamizu, Hiroshi Ohmura, Kazuyo Tanaka

Electrotechnical Laboratory, Ibaraki, Japan

This paper argues about pitch pattern variations of user utterances in human-machine dialogue. For intelligent human-machine communication, it is essential that machines understand prosodic characteristics which imply a user's various attitude, emotion and intention beyond vocabulary. Our original focus is on particularly distinct pitch patterns and their roles in the actual dialogues. We used human-machine dialogues collected by a Wizard of OZ simulation, Many utterance segments belonged to clusters that were prosodically flat patterns. From the result, we considered that utterances which belonged to the other clusters and those which were far from the centroids included non-verbal information. In these utterances, there were talks to themselves and questions to the machine including emotional expressions of a puzzle or a surprise. These pitch patterns were not only rich in ups and downs, but also their slopes were upward, while the pitch pattern were generally even or a little downward. These results indicate that peculiar pitch period patterns show non-verbal expressions. In order to actually utilize such information on human-machine interactions, the representative pitch patterns should be investigated concerning their relationship to various types of communication.

Full Paper   Sound Example #1   Sound Example #2  

Bibliographic reference.  Yoshimura, Takashi / Hayamizu, Satoru / Ohmura, Hiroshi / Tanaka, Kazuyo (1996): "Pitch pattern clustering of user utterances in human-machine dialogue", In ICSLP-1996, 837-840.