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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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Influence of aging on cortical auditory temporal processing of speech in noise

TL;DR: In this article, the authors compared the effects of noise on cortical responses in younger and older adults with normal hearing, hypothesizing that in favorable conditions (SNR 0 dB) differences in performance between the two age groups will be mainly linked to the fact that younger adults are better than older adults at suppressing the competing speech signal.
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Extracting the Auditory Attention in a Dual-Speaker Scenario from EEG using a Joint CNN-LSTM Model

TL;DR: In this article, a joint CNN-LSTM model was proposed to infer the auditory attention in a multi-speaker scenario by taking the EEG signals and the spectrogram of multiple speakers as inputs.
Proceedings ArticleDOI

Esaa: An Eeg-Speech Auditory Attention Detection Database

TL;DR: The EEG-Speech Auditory Attention Detection (AAD) database as mentioned in this paper contains 12.7 hours of data collected from 20 subjects and achieved an accuracy of 84.6% and 84.3% for speaker and speaker locus attention detection with 64-channel and 1-second decision window, respectively.
Journal ArticleDOI

Delta-band neural envelope tracking predicts speech intelligibility in noise in preschoolers

TL;DR: In this paper , EEG responses to natural, continuous speech presented at different SNRs ranging from −8 (very difficult) to 8 dB SNR (very easy) were examined in 14 5-year-old children.
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Automatic Auditory Streaming Restores Missing Temporal Modulations in Echoic Speech

TL;DR: In this article , the authors investigated the underlying neural mechanisms of the cortical response to echoic speech and found that the auditory system can automatically segregate speech and echo and encode them as two auditory streams, providing a potential neural basis for reliable speech recognition in echoic environments.
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