Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner

E Dupoux - Cognition, 2018 - Elsevier
Spectacular progress in the information processing sciences (machine learning, wearable
sensors) promises to revolutionize the study of cognitive development. Here, we analyse the …

Cognitive infocommunications: coginfocom

P Baranyi, A Csapo - 2010 11th International Symposium on …, 2010 - ieeexplore.ieee.org
In recent years, considerable amount of research has been dedicated to the integration of
artificial cognitive functionalities into informatics. With the immense growth in volume of …

Modeling early vocal development through infant–caregiver interaction: A review

M Asada - IEEE Transactions on Cognitive and Developmental …, 2016 - ieeexplore.ieee.org
The developmental origin of language communication seems to involve vocal interactions
between an infant and a caregiver, and one of the big mysteries related to this is how an …

Towards visually prompted keyword localisation for zero-resource spoken languages

L Nortje, H Kamper - 2022 IEEE Spoken Language Technology …, 2023 - ieeexplore.ieee.org
Imagine being able to show a system a visual depiction of a keyword and finding spoken
utterances that contain this keyword from a zero-resource speech corpus. We formalise this …

DIANA, a process-oriented model of human auditory word recognition

L Ten Bosch, L Boves, M Ernestus - Brain Sciences, 2022 - mdpi.com
This article presents diana, a new, process-oriented model of human auditory word
recognition, which takes as its input the acoustic signal and can produce as its output word …

Attention-based keyword localisation in speech using visual grounding

K Olaleye, H Kamper - arXiv preprint arXiv:2106.08859, 2021 - arxiv.org
Visually grounded speech models learn from images paired with spoken captions. By
tagging images with soft text labels using a trained visual classifier with a fixed vocabulary …

Keyword localisation in untranscribed speech using visually grounded speech models

K Olaleye, D Oneaţă, H Kamper - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Keyword localisation is the task of finding where in a speech utterance a given query
keyword occurs. We investigate to what extent keyword localisation is possible using a …

MCA-NMF: Multimodal concept acquisition with non-negative matrix factorization

O Mangin, D Filliat, L Ten Bosch, PY Oudeyer - PloS one, 2015 - journals.plos.org
In this paper we introduce MCA-NMF, a computational model of the acquisition of
multimodal concepts by an agent grounded in its environment. More precisely our model …

A method for noise-robust context-aware pattern discovery and recognition from categorical sequences

O Räsänen, UK Laine - Pattern Recognition, 2012 - Elsevier
An efficient method for weakly supervised pattern discovery and recognition from discrete
categorical sequences is introduced. The method utilizes two parallel sources of data …

Modelling vocabulary acquisition, adaptation and generalization in infants using adaptive Bayesian PLSA

J Driesen - Neurocomputing, 2011 - Elsevier
During the early stages of language acquisition, young infants face the task of learning a
basic vocabulary without the aid of prior linguistic knowledge. Attempts have been made to …