ArticleThe Journal of the Acoustical Society of America2015
Poor phonetic perceivers are affected by cognitive load when resolving talker variability.
Article in The Journal of the Acoustical Society of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 48 citations in OpenAlex.
- Complexity, Training Paradigm Design, and the Contribution of Memory Subsystems to Grammar Learning.PloS one · 2016Trial
- Trial
- Association of health literacy with illness perception of Chinese community patients with chronic disease.BMC public health · 2025Article
- Early-stage use of hearing aids preserves auditory cortical structure in children with sensorineural hearing loss.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Distinct mechanisms for talker adaptation operate in parallel on different timescales.Psychonomic bulletin & review · 2022Article
- Examining Individual Differences in Language Learning: A Neurocognitive Model of Language Aptitude.Neurobiology of language (Cambridge, Mass.) · 2021Article
- Pupillometry Assessment of Speech Recognition and Listening Experience in Adult Cochlear Implant Patients.Frontiers in neuroscience · 2020Article
- Effects of talker continuity and speech rate on auditory working memory.Attention, perception & psychophysics · 2019Article
- Hierarchical contributions of linguistic knowledge to talker identification: Phonological versus lexical familiarity.Attention, perception & psychophysics · 2019Article
- The effect of overnight consolidation in the perceptual learning of non-native tonal contrasts.PloS one · 2019Article
- The Role of Temporal Acoustic Exaggeration in High Variability Phonetic Training: A Behavioral and ERP Study.Frontiers in psychology · 2019Article
- Non-native phonetic learning is destabilized by exposure to phonological variability before and after training.The Journal of the Acoustical Society of America · 2017Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
Speech training paradigms aim to maximise learning outcomes by manipulating external factors such as talker variability. However, not all individuals may benefit from such manipulations because subject-external factors interact with subject-internal ones (e.g., aptitude) to determine speech perception and/or learning success. In a previous tone learning study, high-aptitude individuals benefitted from talker variability, whereas low-aptitude individuals were impaired. Because increases in cognitive load have been shown to hinder speech perception in mixed-talker conditions, it has been proposed that resolving talker variability requires cognitive resources. This proposal leads to the hypothesis that low-aptitude individuals do not use their cognitive resources as efficiently as those with high aptitude. Here, high- and low-aptitude subjects identified pitch contours spoken by multiple talkers under high and low cognitive load conditions established by a secondary task. While high-aptitude listeners outperformed low-aptitude listeners across load conditions, only low-aptitude listeners were impaired by increased cognitive load. The findings suggest that low-aptitude listeners either have fewer available cognitive resources or are poorer at allocating attention to the signal. Therefore, cognitive load is an important factor when considering individual differences in speech perception and training paradigms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.