Literature DB >> 23673276

Correlation between audio-visual enhancement of speech in different noise environments and SNR: a combined behavioral and electrophysiological study.

B Liu1, Y Lin, X Gao, J Dang.   

Abstract

In the present study, we investigated the multisensory gain as the difference of speech recognition accuracies between the audio-visual (AV) and auditory-only (A) conditions, and the multisensory gain as the difference between the event-related potentials (ERPs) evoked under the AV condition and the sum of the ERPs evoked under the A and visual-only (V) conditions in different noise environments. Videos of a female speaker articulating the Chinese monosyllable words accompanied with different levels of pink noise were used as the stimulus materials. The selected signal-to-noise ratios (SNRs) were -16, -12, -8, -4 and 0 dB. Under the A, V and AV conditions the accuracy of the speech recognition was measured and the ERPs evoked under different conditions were analyzed, respectively. The behavioral results showed that the maximum gain as the difference of speech recognition accuracies between the AV and A conditions was at the -12 dB SNR. The ERP results showed that the multisensory gain as the difference between the ERPs evoked under the AV condition and the sum of ERPs evoked under the A and V conditions at the -12 dB SNR was significantly higher than those at the other SNRs in the time window of 130-200 ms in the area from frontal to central region. The multisensory gains in audio-visual speech recognition at different SNRs were not completely accordant with the principle of inverse effectiveness, but confirmed to cross-modal stochastic resonance.
Copyright © 2013 IBRO. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  A; ANOVA; AV; EEG; ERPs; PoIE; SNR; SNRs; SPL; V; analysis of variance; audio–visual; audio–visual speech recognition; auditory-only; cross-modal stochastic resonance; electroencephalogram; event-related potentials; multisensory gain; principle of inverse effectiveness; signal-to-noises; sound pressure level; visual-only

Mesh:

Year:  2013        PMID: 23673276     DOI: 10.1016/j.neuroscience.2013.05.007

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  5 in total

1.  EEG gamma-band activity during audiovisual speech comprehension in different noise environments.

Authors:  Yanfei Lin; Baolin Liu; Zhiwen Liu; Xiaorong Gao
Journal:  Cogn Neurodyn       Date:  2015-02-22       Impact factor: 5.082

2.  Effect of mechanical tactile noise on amplitude of visual evoked potentials: multisensory stochastic resonance.

Authors:  Ignacio Méndez-Balbuena; Nayeli Huidobro; Mayte Silva; Amira Flores; Carlos Trenado; Luis Quintanar; Oscar Arias-Carrión; Rumyana Kristeva; Elias Manjarrez
Journal:  J Neurophysiol       Date:  2015-07-08       Impact factor: 2.714

3.  Stimulus intensity modulates multisensory temporal processing.

Authors:  Juliane Krueger Fister; Ryan A Stevenson; Aaron R Nidiffer; Zachary P Barnett; Mark T Wallace
Journal:  Neuropsychologia       Date:  2016-02-23       Impact factor: 3.139

Review 4.  Random noise stimulation in the treatment of patients with neurological disorders.

Authors:  Mateo A Herrera-Murillo; Mario Treviño; Elias Manjarrez
Journal:  Neural Regen Res       Date:  2022-12       Impact factor: 6.058

5.  Neural dynamics of audiovisual speech integration under variable listening conditions: an individual participant analysis.

Authors:  Nicholas Altieri; Michael J Wenger
Journal:  Front Psychol       Date:  2013-09-10
  5 in total

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