Grounded spoken language acquisition: experiments in word learning

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How researchers see this paper

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Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech (2019, methodology): “The first work in this direction relied on phone strings to represent the speech (Roy & Pentland, 2002; Roy, 2003), but more recently this learning has been shown to be possible directly on the speech signal (Synnaeve et al., 2014; Harwath & Glass, 2015; Harwath et al., 2016).”
Multilingual Distributed Representations without Word Alignment (2013, background): “Language acquisition in humans is widely seen as grounded in sensory-motor experience [22, 2].”
Multilingual Models for Compositional Distributed Semantics (2014, background): “Language acquisition in humans is widely seen as grounded in sensory-motor experience (Bloom, 2001; Roy, 2003).”
Computational modeling of phonetic and lexical learning in early language acquisition: Existing models and future directions (2012, background): “However, the advances in technology have enabled study of language learning cognitive systems by building autonomous robots capable of sensing and acting in the real world environment (e.g., Steels and Kaplan, 2000; Steels, 2003; Roy, 2003).”
Discovering linguistic structures in speech: models and applications (2014, background): “Therefore, one interesting question is whether we can develop a system that learns from less processed data, similar to those employed in [158] for grounding language acquisition from acoustic and video input.”