NDLI: On data driven parametric backchannel synthesis for expressing attentiveness in conversational agents

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Content Provider	ACM Digital Library
Author	Gustafson, Joakim Oertel, Catharine Black, Alan W.
Abstract	In this study, we are using a multi-party recording as a template for building a parametric speech synthesiser which is able to express different levels of attentiveness in backchannel tokens. This allowed us to investigate i) whether it is possible to express the same perceived level of attentiveness in synthesised than in natural backchannels; ii) whether it is possible to increase and decrease the perceived level of attentiveness of backchannels beyond the range observed in the original corpus.
Starting Page	43
Ending Page	47
Page Count	5
File Format	PDF
ISBN	9781450345620
DOI	10.1145/3011263.3011272
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-11-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Synthesis Attentive agents Backchannels
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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On data driven parametric backchannel synthesis for expressing attentiveness in conversational agents