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18627 A rule-based backchannel prediction model using pitch and pause information
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Truong, K.P. and Poppe, R.W. and Heylen, D.K.J. (2010) A rule-based backchannel prediction model using pitch and pause information. In: Proceedings of Interspeech 2010, 26-30 September 2010, Makuhari, Chiba, Japan. pp. 3058-3061. International Speech Communication Association (ISCA). ISSN 1990-9772

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Abstract

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.

Item Type:Conference or Workshop Paper (Full Paper, Poster)
Research Group:EWI-HMI: Human Media Interaction
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:SSPNET: Social Signal Processing Network
Uncontrolled Keywords:backchannel prediction, prosody
ID Code:18627
Status:Published
Deposited On:01 November 2010
Refereed:Yes
International:Yes
More Information:statisticsmetis

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