2017 INTERSPEECH INTERSPEECH 2017

Modelling the Informativeness of Non-Verbal Cues in Parent-Child Interaction

Abstract

Non-verbal cues from speakers, such as eye gaze and hand positions, play an important role in word learning [1]. This is consistent with the notion that for meaning to be reconstructed, acoustic patterns need to be linked to time-synchronous patterns from at least one other modality [2]. In previous studies of a multimodally annotated corpus of parent-child interaction, we have shown that parents interacting with infants at the early word-learning stage (7–9 months) display a large amount of time-synchronous patterns, but that this behaviour tails off with increasing age of the children [3]. Furthermore, we have attempted to quantify the informativeness of the different non-verbal cues, that is, to what extent they actually help to discriminate between different possible referents, and how critical the timing of the cues is [4]. The purpose of this paper is to generalise our earlier model by quantifying informativeness resulting from non-verbal cues occurring both before and after their associated verbal references.

🌉 Interdisciplinary Bridge — Artificial Intelligence and Interdisciplinary
🧭 Keyword Pioneer — parent-child interaction
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio