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An Audibility Model of the Bone Conduction Device during Headband Trial in Single-sided Deaf Subjects. ...
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An Audibility Model of the Bone Conduction Device during Headband Trial in Single-sided Deaf Subjects. ...
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An Audibility Model of the Bone Conduction Device during Headband Trial in Single-sided Deaf Subjects. ...
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Increased connectivity among sensory and motor regions during visual and audiovisual speech perception
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In: Open Access Publications (2022)
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Human cortical encoding of pitch in tonal and non-tonal languages.
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In: Nature communications, vol 12, iss 1 (2021)
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Predictive Neural Computations Support Spoken Word Recognition: Evidence from MEG and Competitor Priming. ...
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Audibility of the Bone Conduction Device Headband Trial in Single-sided Deaf Subjects. ...
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Sustained neural rhythms reveal endogenous oscillations supporting speech perception. ...
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Early bilingual experience is associated with change detection ability in adults. ...
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Predictive Neural Computations Support Spoken Word Recognition: Evidence from MEG and Competitor Priming.
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Abstract:
Human listeners achieve quick and effortless speech comprehension through computations of conditional probability using Bayes rule. However, the neural implementation of Bayesian perceptual inference remains unclear. Competitive-selection accounts (e.g., TRACE) propose that word recognition is achieved through direct inhibitory connections between units representing candidate words that share segments (e.g., hygiene and hijack share /haidʒ/). Manipulations that increase lexical uncertainty should increase neural responses associated with word recognition when words cannot be uniquely identified. In contrast, predictive-selection accounts (e.g., Predictive-Coding) propose that spoken word recognition involves comparing heard and predicted speech sounds and using prediction error to update lexical representations. Increased lexical uncertainty in words, such as hygiene and hijack, will increase prediction error and hence neural activity only at later time points when different segments are predicted. We collected MEG data from male and female listeners to test these two Bayesian mechanisms and used a competitor priming manipulation to change the prior probability of specific words. Lexical decision responses showed delayed recognition of target words (hygiene) following presentation of a neighboring prime word (hijack) several minutes earlier. However, this effect was not observed with pseudoword primes (higent) or targets (hijure). Crucially, MEG responses in the STG showed greater neural responses for word-primed words after the point at which they were uniquely identified (after /haidʒ/ in hygiene) but not before while similar changes were again absent for pseudowords. These findings are consistent with accounts of spoken word recognition in which neural computations of prediction error play a central role.SIGNIFICANCE STATEMENT Effective speech perception is critical to daily life and involves computations that combine speech signals with prior knowledge of spoken words (i.e., Bayesian perceptual inference). This study specifies the neural mechanisms that support spoken word recognition by testing two distinct implementations of Bayes perceptual inference. Most established theories propose direct competition between lexical units such that inhibition of irrelevant candidates leads to selection of critical words. Our results instead support predictive-selection theories (e.g., Predictive-Coding): by comparing heard and predicted speech sounds, neural computations of prediction error can help listeners continuously update lexical probabilities, allowing for more rapid word identification.
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Keyword:
Adult; Bayes Theorem; Comprehension; Female; Humans; Magnetoencephalography; Male; MEG; Middle Aged; perception; prediction; priming; Psychology; Recognition; speech; Speech Perception; STG; Temporal Lobe; Young Adult
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URL: https://www.repository.cam.ac.uk/handle/1810/331302
https://doi.org/10.17863/CAM.78749
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The Visual Word Form Area compensates for auditory working memory dysfunction in schizophrenia.
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In: Scientific reports, vol 10, iss 1 (2020)
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What Do North American Babies Hear? A large-scale cross-corpus analysis.
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Using Spectral Blurring to Assess Effects of Channel Interaction on Speech-in-Noise Perception with Cochlear Implants. ...
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Cross-linguistic Influences on Sentence Accent Detection in Background Noise. ...
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Effect of the number of amplitude-compression channels and compression speed on speech recognition by listeners with mild to moderate sensorineural hearing loss. ...
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Rapid computations of spectrotemporal prediction error support perception of degraded speech. ...
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Relationship between sensitivity to temporal fine structure and spoken language abilities in children with mild-to-moderate sensorineural hearing loss. ...
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Chunking and redintegration in verbal short-term memory. ...
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Multimodal semantic revision during inferential processing: The role of inhibitory control in text and picture comprehension. ...
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The Neural Time Course of Semantic Ambiguity Resolution in Speech Comprehension. ...
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