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Low-Resource Speech Recognition and Keyword-Spotting Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Exploring Multiparty Casual Talk for Social Human-Machine Dialogue

verfasst von : Emer Gilmartin, Benjamin R. Cowan, Carl Vogel, Nick Campbell

Erschienen in: Speech and Computer

Verlag: Springer International Publishing

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Abstract

Much talk between humans is casual and multiparty. It facilitates social bonding and mutual co-presence rather than strictly being used to exchange information in order to complete well-defined practical tasks. Artificial partners that are capable of participating as a speaker or listener in such talk would be useful for companionship, educational, and social contexts. However, such applications require dialogue structure beyond simple question/answer routines. While there is body of theory on multiparty casual talk, there is a lack of work quantifying such phenomena. This is critical if we are to manage and generate human machine multiparty casual talk. We outline the current knowledge on the structure of casual talk, describe our investigations in this domain, summarise our findings on timing, laughter, and disfluency in this domain, and discuss how they can inform the design and implementation of truly social machine dialogue partners.

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Vorheriges Kapitel Experimenting with Hybrid TDNN/HMM Acoustic Models for Russian Speech Recognition
Nächstes Kapitel First Experiments to Detect Anomaly Using Personality Traits vs. Prosodic Features
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Metadaten
Titel
Exploring Multiparty Casual Talk for Social Human-Machine Dialogue
verfasst von
Emer Gilmartin
Benjamin R. Cowan
Carl Vogel
Nick Campbell
Copyright-Jahr
2017
Buch
Speech and Computer

Print ISBN: 978-3-319-66428-6

Electronic ISBN: 978-3-319-66429-3

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-66429-3_36