title: Correlation between audio-visual enhancement of speech in different noise environments and SNR: a combined behavioral and electrophysiological study.
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.
authors.affiliation: School of Computer Science and Technology, Tianjin Key Laboratory of Cognitive Computing and Application, Tianjin University, Tianjin 300072, PR China. liubaolin.china@gmail.com
authors.forename: B
authors.initials: B
authors.lastname: Liu
authors.forename: Y
authors.initials: Y
authors.lastname: Lin
authors.forename: X
authors.initials: X
authors.lastname: Gao
authors.forename: J
authors.initials: J
authors.lastname: Dang
mesh_terms: D000161:Acoustic Stimulation / Q000379:methods*; D000328:Adult; D001307:Auditory Perception / Q000502:physiology; D004569:Electroencephalography / Q000379:methods; D005072:Evoked Potentials, Auditory / Q000502:physiology; D005074:Evoked Potentials, Visual / Q000502:physiology; D005260:Female; D006801:Humans; D008297:Male; D010775:Photic Stimulation / Q000379:methods*; D059629:Signal-To-Noise Ratio; D013060:Speech / Q000502:physiology; D013067:Speech Perception / Q000502:physiology*; D014796:Visual Perception / Q000502:physiology*; D055815:Young Adult
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