Analysis of the correlation between the human voice and brain activity

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F24%3A50018066" target="_blank" >RIV/62690094:18450/24:50018066 - isvavai.cz</a>
Result on the web
<a href="https://www.tandfonline.com/doi/abs/10.1080/17455030.2021.1921313?journalCode=twrm20" target="_blank" >https://www.tandfonline.com/doi/abs/10.1080/17455030.2021.1921313?journalCode=twrm20</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/17455030.2021.1921313" target="_blank" >10.1080/17455030.2021.1921313</a>

Result language
angličtina
Original language name
Analysis of the correlation between the human voice and brain activity
Original language description
In this paper, we investigated the coupling among the alterations of brain activity and the rhythmic pattern of voice. We benefited from complexity and information concepts and ran the analysis on EEG and voice (audio) signals using sample entropy and Shannon entropy. To change brain activity, we applied four different odors with different complexities on ten subjects (5 M, 5 F). Accordingly, subjects' voice was changed, and therefore, we evaluated the changes in EEG versus voice signals by calculating their Shannon entropy and sample entropy. The obtained results showed that the variations of complexity (r = 0.8659) and the information content (r = 0.9423) of voice and EEG signals are strongly correlated. This method can be utilized to evaluate the coupling of other biosignals versus brain activity.
Czech name
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Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10103 - Statistics and probability

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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