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Vocal Analysis of Acoustic Startle Responses


Dropuljić, Branimir; Mijić, Igor; Petrinović, Davor; Jovanovic, Tanja; Ćosić, Krešimir
Vocal Analysis of Acoustic Startle Responses // IEEE-ACM Transactions on Audio Speech and Language Processing, 26 (2018), 2; 318-329 doi:10.1109/TASLP.2017.2775742 (međunarodna recenzija, članak, znanstveni)


Naslov
Vocal Analysis of Acoustic Startle Responses

Autori
Dropuljić, Branimir ; Mijić, Igor ; Petrinović, Davor ; Jovanovic, Tanja ; Ćosić, Krešimir

Izvornik
IEEE-ACM Transactions on Audio Speech and Language Processing (2329-9290) 26 (2018), 2; 318-329

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Acoustic startle response, voice energy, voice fundamental frequency, sEMG eyeblink, orbicularis oculi muscle

Sažetak
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.

Izvorni jezik
Engleski



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
  • Scopus


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