ArticlePloS one2024
Individual differences in working memory impact the trajectory of non-native speech category learning.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Reverse Hierarchical Processing of Speech in Talker Identification.The European journal of neuroscience · 2026Article
- Dual learning systems in talker identification: the effects of language, accent, and feedback.Attention, perception & psychophysics · 2025Article
- Category learning drives cortical attentional gain to diagnostic dimensions.bioRxiv : the preprint server for biology · 2025Article
- The Effect of Concurrent Auditory Working Memory Task in Auditory Category Learning.Behavioral sciences (Basel, Switzerland) · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
What is the role of working memory over the course of non-native speech category learning? Prior work has predominantly focused on how working memory might influence learning assessed at a single timepoint. Here, we substantially extend this prior work by examining the role of working memory on speech learning performance over time (i.e., over several months) and leverage a multifaceted approach that provides key insights into how working memory influences learning accuracy, maintenance of knowledge over time, generalization ability, and decision processes. We found that the role of working memory in non-native speech learning depends on the timepoint of learning and whether individuals learned the categories at all. Among learners, across all stages of learning, working memory was associated with higher accuracy as well as faster and slightly more cautious decision making. Further, while learners and non-learners did not have substantially different working memory performance, learners had faster evidence accumulation and more cautious decision thresholds throughout all sessions. Working memory may enhance learning by facilitating rapid category acquisition in initial stages and enabling faster and slightly more careful decision-making strategies that may reduce the overall effort needed to learn. Our results have important implications for developing interventions to improve learning in naturalistic language contexts.
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