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Child Speech Recognition in Human-Robot Interaction: Evaluations and Recommendations

Kennedy, J.; Montassier, Caroline; Lavalade, Pauline; Irfan, Bahar; Papadopoulos, Fotios; Senft, Emmanuel; Belpaeme, Tony; Lemaignan, S.

Authors

Caroline Montassier

Pauline Lavalade

Bahar Irfan

Fotios Papadopoulos

Emmanuel Senft

Tony Belpaeme



Abstract

© 2017 ACM. An increasing number of human-robot interaction (HRI) studies are now taking place in applied settings with children. These interactions often hinge on verbal interaction to effectively achieve their goals. Great advances have been made in adult speech recognition and it is often assumed that these advances will carry over to the HRI domain and to interactions with children. In this paper, we evaluate a number of automatic speech recognition (ASR) engines under a variety of conditions, inspired by real-world social HRI conditions. Using the data collected we demonstrate that there is still much work to be done in ASR for child speech, with interactions relying solely on this modality still out of reach. However, we also make recommendations for child-robot interaction design in order to maximise the capability that does currently exist.

Start Date Mar 6, 2017
Publication Date 2017
Electronic ISSN 2167-2148
Peer Reviewed Peer Reviewed
Volume Part F127194
Pages 82-90
Book Title Proceedings of the 2017 ACM/IEEE Human-Robot Interaction Conference
ISBN 9781450343367
APA6 Citation Belpaeme, T., Senft, E., Papadopoulos, F., Irfan, B., Lavalade, P., Montassier, C., …Belpaeme, T. (2017). Child Speech Recognition in Human-Robot Interaction: Evaluations and Recommendations. In Proceedings of the 2017 ACM/IEEE Human-Robot Interaction Conference, (82-90). https://doi.org/10.1145/2909824.3020229
DOI https://doi.org/10.1145/2909824.3020229
Keywords Child-Robot Interaction; Automatic Speech Recognition;
Verbal Interaction; Interaction Design Recommendations
Publisher URL http://dx.doi.org/10.1145/2909824.3020229
Additional Information Title of Conference or Conference Proceedings : Human-Robot Interaction