11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

A Rule-Based Backchannel Prediction Model Using Pitch and Pause Information

Khiet P. Truong, Ronald Poppe, Dirk Heylen

University of Twente, The Netherlands

We manually designed rules for a backchannel (BC) prediction model based on pitch and pause information. In short, the model predicts a BC when there is a pause of a certain length that is preceded by a falling or rising pitch. This model was validated against the Dutch IFADV Corpus in a corpus-based evaluation method. The results showed that our model performs slightly better than another well-known rule-based BC prediction model that uses only pitch information. We observed that the length of a pause preceding a BC is one of the important features in this model, next to the duration of the pitch slope at the end of an utterance. Further, we discuss implications of a corpus-based approach to BC prediction evaluation.

Full Paper

Bibliographic reference.  Truong, Khiet P. / Poppe, Ronald / Heylen, Dirk (2010): "A rule-based backchannel prediction model using pitch and pause information", In INTERSPEECH-2010, 3058-3061.