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Open AccessJournal ArticleDOI

Neural coding of continuous speech in auditory cortex during monaural and dichotic listening

Nai Ding, +1 more
- 01 Jan 2012 - 
- Vol. 107, Iss: 1, pp 78-89
TLDR
These findings characterize how the spectrotemporal features of speech are encoded in human auditory cortex and establish a single-trial-based paradigm to study the neural basis underlying the cocktail party phenomenon.
Abstract
The cortical representation of the acoustic features of continuous speech is the foundation of speech perception. In this study, noninvasive magnetoencephalography (MEG) recordings are obtained from human subjects actively listening to spoken narratives, in both simple and cocktail party-like auditory scenes. By modeling how acoustic features of speech are encoded in ongoing MEG activity as a spectrotemporal response function, we demonstrate that the slow temporal modulations of speech in a broad spectral region are represented bilaterally in auditory cortex by a phase-locked temporal code. For speech presented monaurally to either ear, this phase-locked response is always more faithful in the right hemisphere, but with a shorter latency in the hemisphere contralateral to the stimulated ear. When different spoken narratives are presented to each ear simultaneously (dichotic listening), the resulting cortical neural activity precisely encodes the acoustic features of both of the spoken narratives, but slightly weakened and delayed compared with the monaural response. Critically, the early sensory response to the attended speech is considerably stronger than that to the unattended speech, demonstrating top-down attentional gain control. This attentional gain is substantial even during the subjects' very first exposure to the speech mixture and therefore largely independent of knowledge of the speech content. Together, these findings characterize how the spectrotemporal features of speech are encoded in human auditory cortex and establish a single-trial-based paradigm to study the neural basis underlying the cocktail party phenomenon.

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Citations
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Journal ArticleDOI

Cortical tracking of hierarchical linguistic structures in connected speech

TL;DR: It is found that, during listening to connected speech, cortical activity of different timescales concurrently tracked the time course of abstract linguistic structures at different hierarchical levels, such as words, phrases and sentences.
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Emergence of neural encoding of auditory objects while listening to competing speakers

TL;DR: Recording from subjects selectively listening to one of two competing speakers using magnetoencephalography indicates that concurrent auditory objects, even if spectrotemporally overlapping and not resolvable at the auditory periphery, are neurally encoded individually in auditory cortex and emerge as fundamental representational units for top-down attentional modulation and bottom-up neural adaptation.
Journal ArticleDOI

Attentional Selection in a Cocktail Party Environment Can Be Decoded from Single-Trial EEG

TL;DR: It is shown that single-trial unaveraged EEG data can be decoded to determine attentional selection in a naturalistic multispeaker environment and a significant correlation between the EEG-based measure of attention and performance on a high-level attention task is shown.
Journal ArticleDOI

Speech rhythms and multiplexed oscillatory sensory coding in the human brain.

TL;DR: A neuroimaging study reveals how coupled brain oscillations at different frequencies align with quasi-rhythmic features of continuous speech such as prosody, syllables, and phonemes.
References
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Journal ArticleDOI

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TL;DR: An algorithm for removing environmental noise from neurophysiological recordings such as magnetoencephalography (MEG) improves the value of data recorded in health and scientific applications by suppressing harmful noise, and reduces the need for deleterious spatial or spectral filtering.
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