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 …
sensors) promises to revolutionize the study of cognitive development. Here, we analyse the …
Cognitive infocommunications: coginfocom
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
keyword occurs. We investigate to what extent keyword localisation is possible using a …
MCA-NMF: Multimodal concept acquisition with non-negative matrix factorization
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 …
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
An efficient method for weakly supervised pattern discovery and recognition from discrete
categorical sequences is introduced. The method utilizes two parallel sources of data …
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 …
basic vocabulary without the aid of prior linguistic knowledge. Attempts have been made to …