Online Detection Of Vocal Listener Responses With Maximum Latency Constraints

Neiberg, Daniel and Truong, Khiet P. (2011) Online Detection Of Vocal Listener Responses With Maximum Latency Constraints. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, 22-27 May 2011, Prague, Czech Republic.

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Abstract:	When human listeners utter Listener Responses (e.g. back-channels or acknowledgments) such as 'yeah' and 'mmhmm', interlocutors commonly continue to speak or resume their speech even before the listener has ﬁnished his/her response. This type of speech interactivity results in frequent speech overlap which is common in human-human conversation. To allow for this type of speech interactivity to occur between humans and spoken dialog systems, which will result in more human-like continuous and smoother human-machine interaction, we propose an on-line classiﬁer which can classify incoming speech as Listener Responses. We show that it is possible to detect vocal Listener Responses using maximum latency thresholds of 100-500 ms, thereby obtaining equal error rates ranging from 34% to 28% by using an energy based voice activity detector.
Item Type:	Conference or Workshop Item
Copyright:	© 2011 IEEE
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/77316
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