The second-order effect of orthography-to-phonology mapping consistency on Chinese spoken word recognition

Chao, Pei-Chun; Chen, Wei-Fan; Lee, Chia‐Ying

doi:10.1016/j.jneuroling.2018.11.002

Cited by 1 publication

(2 citation statements)

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“…This algorithm was applied to decompose the noise-assisted signal into eight IMFs and one residual trend. These steps were repeated 10 times, sifting with different white noises to produce 40 ensembles of corresponding IMFs ( Hsu et al, 2016 ; Tzeng et al, 2017 ; Chao et al, 2019 ). The resultant IMFs were obtained by averaging all ensembles of each IMF.…”

Section: Methodsmentioning

confidence: 99%

“…The results revealed that IMF 5 showed a central frequency at 9.35 Hz, ranging from 0 to 16.33 Hz; IMF 6 showed a central frequency at 4.04 Hz, ranging from 0 to 8.78 Hz; IMF 7 showed a central frequency at 1.98 Hz, ranging from 0 to 4.85 Hz; and IMF 8 showed a central frequency at 1.01 Hz, ranging from 0 to 4.41 Hz. The present study performed a summation across IMF 6, IMF 7, and IMF 8 ( Chen et al, 2016 ; Chao et al, 2019 ) to cover the frequency range of 0–8.78 Hz, subsequently averaging over all trials for each condition in each channel to yield event-related modes (ERMs).…”

Section: Methodsmentioning

confidence: 99%

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Speech comprehension in noisy environments: Evidence from the predictability effects on the N400 and LPC

Hsin

Chao²,

Lee³

2023

Front. Psychol.

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IntroductionSpeech comprehension involves context-based lexical predictions for efficient semantic integration. This study investigated how noise affects the predictability effect on event-related potentials (ERPs) such as the N400 and late positive component (LPC) in speech comprehension.MethodsTwenty-seven listeners were asked to comprehend sentences in clear and noisy conditions (hereinafter referred to as “clear speech” and “noisy speech,” respectively) that ended with a high-or low-predictability word during electroencephalogram (EEG) recordings.ResultsThe study results regarding clear speech showed the predictability effect on the N400, wherein low-predictability words elicited a larger N400 amplitude than did high-predictability words in the centroparietal and frontocentral regions. Noisy speech showed a reduced and delayed predictability effect on the N400 in the centroparietal regions. Additionally, noisy speech showed a predictability effect on the LPC in the centroparietal regions.DiscussionThese findings suggest that listeners achieve comprehension outcomes through different neural mechanisms according to listening conditions. Noisy speech may be comprehended with a second-pass process that possibly functions to recover the phonological form of degraded speech through phonetic reanalysis or repair, thus compensating for decreased predictive efficiency.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%