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

  • J Kennedy
  • , S Lemaignan
  • , C Montassier
  • , P Lavalade
  • , B Irfan
  • , F Papadopoulos
  • , E Senft
  • , T Belpaeme

Research output: Contribution to journalConference proceedings published in a journalpeer-review

21 Downloads (Pure)

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.
Original languageEnglish
Number of pages0
JournalProceedings of the 2017 ACM/IEEE Human-Robot Interaction Conference
Volume0
Issue number0
DOIs
Publication statusPublished - 10 Mar 2017

Fingerprint

Dive into the research topics of 'Child Speech Recognition in Human-Robot Interaction: Evaluations and Recommendations'. Together they form a unique fingerprint.

Cite this