Visible to the public On Data Driven Parametric Backchannel Synthesis for Expressing Attentiveness in Conversational Agents

TitleOn Data Driven Parametric Backchannel Synthesis for Expressing Attentiveness in Conversational Agents
Publication TypeConference Paper
Year of Publication2016
AuthorsOertel, Catharine, Gustafson, Joakim, Black, Alan W.
Conference NameProceedings of the Workshop on Multimodal Analyses Enabling Artificial Agents in Human-Machine Interaction
PublisherACM
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4562-0
Keywordsattentive agents, backchannels, conversational agents, Human Behavior, Metrics, pubcrawl, Scalability, Synthesis
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.

URLhttp://doi.acm.org/10.1145/3011263.3011272
DOI10.1145/3011263.3011272
Citation Keyoertel_data_2016