Year: 2022
Type: preprint
Abstract: Purpose This study aims to describe variations in acoustic and electroencephalography measures when speaking in the presence of background noise (Lombard effect) in participants with typical voice and normal hearing. Method Twenty-one participants with typical voices and normal hearing uttered simple vocal tasks in three sequential background conditions: Baseline (in quiet), Lombard (in noise), and Recovery (five minutes after removing the noise). Acoustic and electroencephalography signals were recorded in all conditions. The noise used in the Lombard condition consisted of speech-shaped noise at 80 dB SPL sent by headphones. Acoustic measure, and ERP responses were analyzed. Results During the Lombard condition, the participants increased the intensity of their voice, accompanied by an increase in CPP, and a decrease in H1-H2. The cortical response was characterized by the increased N1-P2 complex amplitude of the ERP elicited by the subject’s own vocalizations in noise, The source localization showed neural activities in frontal and temporal cortical regions. Conclusions The variation in acoustic measures due to the Lombard Effect could be modulated by temporal, and cortical regions.
Authors: Christian Castro, Lucia Z Rivera, Pavel Prado, Jhosmary Cuadros, Juan Pablo Cortés, Alejandro Weinstein, Victor Espinoza, Matías Zañartu
Language: English
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
Awards: G3207896809, G371350066, G4635295475, G531147576, NEUROPHYSIOLOGICAL CONTROL FOR A COMPUTATIONAL LUMPED-MASS MODEL OF THE VOCAL FOLDS, ADVANCED CENTER FOR ELECTRICAL AND ELECTRONIC ENGINEERING, SENSORY AND ELECTRIC BRAIN STIMULATION FOR NEUROREHABILITATION FROM MECHANISMS TO CLINICAL PRACTICE, G8383608706, G9000003783, G9000278013
OpenAlex ID: W4300716109