ArticleFrontiers in neuroscience2026
Neural encoding of native and non-native speech sounds in quiet and in background noise.
Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The neural encoding of voicing in speech sounds has been relatively well studied in monolingual, native speakers. Little research, however, has examined neural encoding of aspiration feature in speech sounds or focused on encoding of non-native phonetic features or the effect of noise on processing these features. Purpose: This study examined Auditory Evoked Potentials (AEPs) to bilabial stops with English versus Hindi phonetic properties of aspiration and voicing Hindi, English and Tamil listeners, in quiet and in noise. Method: A total of 48 participants (16 Hindi, 16 American English, and 16 native Tamil native speakers) between 20 and 45 years of age participated. Natural digitized speech sounds including Hindi /ba/, /pa/, and /p Results: The P1 and P2 peak amplitudes were significantly larger for Hindi CV stimuli in Hindi participants relative to American English participants and Tamil participants. The morphology to Hindi /p Conclusion: The findings add evidence to the Automatic Speech Perception model by observing cross-linguistic differences in P1 and P2. The results contribute to a better understanding of neural encoding in the cortex across native and non-native listeners, and how noise modulates early stages of processing.
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