Recurrent neural networks as neuro-computational models of human speech recognition
Human speech recognition transforms a continuous acoustic signal into categorical
linguistic units, by aggregating information that is distributed in time. It has been suggested …
linguistic units, by aggregating information that is distributed in time. It has been suggested …
[PDF][PDF] Social Network Diversity Leads to More Flexible Speech Perception in School-aged Children
Traditionally, there has been a strong emphasis on capturing linguistic diversity as noise. In
speech perception, for instance, Categorical Perception (CP) is one example of such …
speech perception, for instance, Categorical Perception (CP) is one example of such …
Recognising prosodically degraded lexical material-Can word length help?
C Torres - Proceedings of the Annual Meeting of the Cognitive …, 2024 - escholarship.org
This study investigates the role of low-level acoustic cues in relation to increasing number of
syllables in two word recognition experiments conducted in a remote field site. Participants …
syllables in two word recognition experiments conducted in a remote field site. Participants …
Did I hear that right? The impact of bilingual experience on spoken word recognition.
C Soto García-Meléndez - 2024 - repository.essex.ac.uk
The study of bilingual spoken word recognition (SWR) has provided substantial evidence
regarding the interaction between the bilingual's first language (L1) and second language …
regarding the interaction between the bilingual's first language (L1) and second language …