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I think I have heard that one before : recurrence-based word learning with a robot

Sato, Yo, Ji, Ze ORCID: and van Dijk, Sander 2013. I think I have heard that one before : recurrence-based word learning with a robot. Gogate, Lakshmi and Hollich, George, eds. Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence, IGI Global, pp. 327-349. (10.4018/978-1-4666-2973-8.ch014)

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In this chapter, the authors present a model for learning Word-Like Units (WLUs) based on acoustic recurrence, as well as the results of an application of the model to simulated child-directed speech in human-robot interaction. It is a purely acoustic single-modality model: the learning does not invoke extralinguistic factors such as possible references of words or linguistic constructs including phonemes. The main target phenomenon is the learner’s perception that a WLU has been repeated. To simulate it, a Dynamic Time Warping (DTW)-based algorithm is introduced to search for recurrent utterances of similar acoustic features. The authors then extend this model to incorporate interaction, corrective feedback in particular, and assess the ameliorating effect of caregiver correction when a WLU, which is close to the real word, is uttered by the learner.

Item Type: Book Section
Book Type: Edited Book
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: IGI Global
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Last Modified: 23 Oct 2022 13:13

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