Vocal Analysis of Acoustic Startle Responses
| Autor: | Tanja Jovanovic, Branimir Dropuljić, Igor Mijic, Krešimir Ćosić, Davor Petrinovic |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Startle response medicine.medical_specialty Acoustics and Ultrasonics medicine.diagnostic_test Fundamental frequency Electromyography Audiology Electronic mail Intensity (physics) 03 medical and health sciences Computational Mathematics a0tic startle response voice energy voice fundamental frequency sEMG eyeblink orbicularis oculi muscle 030104 developmental biology 0302 clinical medicine Duration (music) Rise time Computer Science (miscellaneous) medicine Phonation Electrical and Electronic Engineering 030217 neurology & neurosurgery Mathematics |
| Zdroj: | IEEE/ACM Transactions on Audio, Speech, and Language Processing. 26:318-329 |
| ISSN: | 2329-9304 2329-9290 |
| Popis: | This paper presents an extensive statistical analysis of the acoustic startle response of two vocal parameters: fundamental frequency (F0) and root-mean-square energy (E), as well as of the orbicularis oculi (eyeblink) surface electromyography (sEMG). An experiment was conducted in which fourteen participants were exposed to acoustic startle stimuli of varying parameters, i.e., intensity level, duration, rise time, and spectral type, during periods of sustained phonation. Voice recordings of the phonations were taken alongside several physiological signals, of which only the sEMG was analyzed in this paper. Response features (peak value, peak time, latency, rise time, fall time, and duration) were extracted on F0, E and sEMG data, and statistical analysis was conducted using linear mixed effects models to show the response behavior with the varying stimuli. The results for vocal F0 and E data were congruent with sEMG data and earlier work in the field. The results demonstrated that vocal analysis can be used as a feasible alternative to the sEMG eyeblink analysis of acoustic startle responses. |
| Databáze: | OpenAIRE |
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