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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.

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Chicago
Kennedy, James, Séverin Lemaignan, Caroline Montassier, Pauline Lavalade, Bahar Irfan, Fotios Papadopoulos, Emmanuel Senft, and Tony Belpaeme. 2017. “Child Speech Recognition in Human-robot Interaction : Evaluations and Recommendations.” In Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 82–90. New York, NY, USA: ACM Press.
APA
Kennedy, James, Lemaignan, S., Montassier, C., Lavalade, P., Irfan, B., Papadopoulos, F., Senft, E., et al. (2017). Child speech recognition in human-robot interaction : evaluations and recommendations. Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction (pp. 82–90). Presented at the ACM/IEEE International Conference on Human-Robot Interaction, New York, NY, USA: ACM Press.
Vancouver
1.
Kennedy J, Lemaignan S, Montassier C, Lavalade P, Irfan B, Papadopoulos F, et al. Child speech recognition in human-robot interaction : evaluations and recommendations. Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM Press; 2017. p. 82–90.
MLA
Kennedy, James, Séverin Lemaignan, Caroline Montassier, et al. “Child Speech Recognition in Human-robot Interaction : Evaluations and Recommendations.” Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction. New York, NY, USA: ACM Press, 2017. 82–90. Print.
@inproceedings{8528353,
  abstract     = {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.},
  author       = {Kennedy, James and Lemaignan, S{\'e}verin and Montassier, Caroline and Lavalade, Pauline and Irfan, Bahar and Papadopoulos, Fotios and Senft, Emmanuel and Belpaeme, Tony},
  booktitle    = {Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction},
  isbn         = {9781450343367},
  language     = {eng},
  location     = {Vienna, Austria},
  pages        = {82--90},
  publisher    = {ACM Press},
  title        = {Child speech recognition in human-robot interaction : evaluations and recommendations},
  url          = {http://dx.doi.org/10.1145/2909824.3020229},
  year         = {2017},
}

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