Contributions of pitch and spectral information to cortical vowel categorization

Frank, Marina; Muhlack, Beeke; Zebe, Franka; Scharinger, Mathias

doi:10.1016/j.wocn.2020.100963

Cited by 3 publications

(2 citation statements)

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“…Auditory sensory responses (M100 amplitude) were enhanced for a long compared to a short gap duration – and thus for the more salient target – but not for variations in motivation. The M100 and the N100, the electric equivalent, are known to respond most strongly to changes in physical stimulus properties (Frank et al, 2020; Hansen & Hillyard, 1980; Näätänen & Picton, 1987; Paiva et al, 2016). Nevertheless, attentional modulation of the M100/N100 has been observed previously but often limited to spatial tasks (Ding & Simon, 2012; Hillyard et al, 1973; Kraus et al, 2021; O’Sullivan et al, 2015; Orf et al, 2023; Woldorff & Hillyard, 1991).…”

Section: Discussionmentioning

confidence: 99%

Neurophysiology of effortful listening: Decoupling motivational modulation from task demands

Kraus,

Ross,

Herrmann

et al. 2024

Preprint

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In demanding listening situations, a listener's motivational state may affect their cognitive investment. Here, we aim to delineate how domain-specific sensory processing, domain-general neural alpha power, and pupil size as a proxy for cognitive investment encode influences of motivational state under demanding listening. Participants performed an auditory gap-detection task while pupil size and the magnetoencephalogram (MEG) were simultaneously recorded. Task demand and a listener's motivational state were orthogonally manipulated through changes in gap duration and monetary-reward prospect, respectively. Whereas task difficulty impaired performance, reward prospect enhanced it. Pupil size reliably indicated the modulatory impact of an individual's motivational state. At the neural level, the motivational state did not affect auditory sensory processing directly but impacted attentional post-processing of an auditory event as reflected in the late evoked-response field and alpha power change. Both pre-gap pupil dilation and higher parietal alpha power predicted better performance at the single-trial level. The current data support a framework wherein the motivational state acts as an attentional top-down neural means of post-processing the auditory input in challenging listening situations.

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Section: Discussionmentioning

confidence: 99%

Neurophysiology of effortful listening: Decoupling motivational modulation from task demands

Kraus,

Ross,

Herrmann

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Previous EEG studies demonstrated that early neural auditory processing of vowels, notably indexed by N1 amplitude and latency, partly relies on their acoustic properties (i.e., fundamental and formant frequencies; Frank et al, 2020). Given the significant effect of the visual modality observed on N1 latency, linear regression analyses were therefore performed to determine whether these N1 latency changes were driven by (non-significant) acoustic differences between the audiovisual and auditory modalities.…”

Section: Correlation Between N1 Latency and Acoustic Changes In Respo...mentioning

confidence: 99%

Motor and visual influences on auditory neural processing during speaking and listening

Sato

2022

Cortex

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Exploring open consonantal environments for at-home testing of vowel perception in advanced L2 speakers

Jones

2022

Applied Linguistics Review

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Recent work has called for increased investigation into methods used to explore second language (L2) speech perception (Flege, James E. 2021. New methods for second language (L2) speech research. In Second language speech learning: Theoretical and empirical progress, 119–156. Cambridge: Cambridge University Press). The present study attends to this call, examining a common practice for developing listening prompts in the context of at-home administrations. Vowel perception studies have historically used fixed consonantal frames to determine how well participants can discriminate between target L2 vowels, and the present study compares the effects of employing a fixed consonant-vowel-consonant frame (h-vowel-d) with open (phonologically diverse) consonantal environments using real and nonce words. Thirty-eight Mandarin (n = 31) and English (n = 8) first language speakers participated in a listening experiment and a post-experiment question. Data were framed within Best and Tyler’s (2007. Nonnative & second-language speech. In O. S. Bohn & M. Munro (eds.), Second-language speech learning: The role of language experience in speech perception and production. A Festschrift in Honour of James E. Flege, 13–34. Amsterdam: John Benjamins) Perceptual Assimilation Model-L2. Internal consistency and proportion correct were calculated and a generalised linear mixed model design was used to investigate how well performance with h-vowel-d prompts predicts performance with the more diverse prompt types. Results suggest an inflation of scores for the fixed frame prompt and support the use of diverse words for listening prompt designs. Findings have implications for vowel perception researchers as well as computer (and mobile) assisted language learning developers wishing to inform their designs with relevant empirical evidence.

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Contributions of pitch and spectral information to cortical vowel categorization

Cited by 3 publications

References 58 publications

Neurophysiology of effortful listening: Decoupling motivational modulation from task demands

Neurophysiology of effortful listening: Decoupling motivational modulation from task demands

Motor and visual influences on auditory neural processing during speaking and listening

Exploring open consonantal environments for at-home testing of vowel perception in advanced L2 speakers

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