Guillaume Aimetti

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This paper reports the ongoing research of a thesis project investigating a computational model of early language acquisition. The model discovers word-like units from cross-modal input data and builds continuously evolving internal representations within a cog-nitive model of memory. Current cognitive theories suggest that young infants employ general(More)
A multilingual speech corpus used for modeling language acquisition called CAREGIVER has been designed and recorded within the framework of the EU funded Acquisition of Communication and Recognition Skills (ACORNS) project. The paper describes the motivation behind the corpus and its design by relying on current knowledge regarding infant language(More)
In this paper we compare three different implementations of language learning to investigate the issue of speaker-dependent initial representations and subsequent generalization. These implementations are used in a comprehensive model of language acquisition under development in the FP6 FET project ACORNS. All algorithms are embedded in a cognitively and(More)
This paper introduces a computational model of early language acquisition that is able to build word-like units from cross-modal stimuli (acoustic and pseudo-visual). The architecture , data processing and internal representations of the model strives for ecological plausibility, and is therefore inspired by current cognitive views of preverbal infant(More)
This paper presents a computational model that can automatically learn words, made up from emergent sub-word units, with no prior linguistic knowledge. This research is inspired by current cognitive theories of human speech perception, and therefore strives for ecological plausibility with the desire to build more robust speech recognition technology.(More)
This paper introduces a computational model that automatically segments acoustic speech data and builds internal representations of keyword classes from cross-modal (acoustic and pseudo-visual) input. Acoustic segmentation is achieved using a novel dynamic time warping technique and the focus of this paper is on recent investigations conducted to enhance(More)
Dissemination Level PU Public X PP Restricted to other programme participants (including the Commission Services) RE Restricted to a group specified by the consortium (including the Commission Services) CO Confidential, only for members of the consortium (including the Commission Services)
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