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Pregled bibliografske jedinice broj: 839901

Novel Speech Features of Disturbances in Laryngeal Muscle Coordination


Dropuljić, Branimir; Petrinović, Davor; Ćosić, Krešimir
Novel Speech Features of Disturbances in Laryngeal Muscle Coordination // 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2016)
Wroclaw, Poland, 2016. str. 175-180 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 839901 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Novel Speech Features of Disturbances in Laryngeal Muscle Coordination

Autori
Dropuljić, Branimir ; Petrinović, Davor ; Ćosić, Krešimir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2016) / - , 2016, 175-180

Skup
7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2016)

Mjesto i datum
Wroclaw, Poland, 16-18.10.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
speech perturbation features ; fundamental frequency ; laryngeal musculature ; stress ; speech under stress

Sažetak
The present paper proposes speech features derived from the fundamental frequency (F0) contour decomposition. The decomposition method is designed in order to differentiate, as much as possible, simultaneous neurobiological effects on vocal fold vibration. The focus of this paper is placed on involuntary disturbances of such vibrations, which are analyzed in the context of emotional stress. The proposed features are compared with conventional perturbation measures, i.e. jitter and shimmer, using two datasets: Synthetic perturbations and SUSAS (Speech Under Simulated and Actual Stress) subset – Roller- coaster. Features are additionally analyzed in the context of elimination potential of voluntary effects like F0 contour changes during natural pronunciation. Results of the initial synthetic perturbation analysis indicate that the proposed features could be less affected by the voluntary control and, on the other hand, more related to disturbances in laryngeal muscle coordination. The proposed features generally outperform conventional perturbation features in speech under stress analysis.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
036-0000000-2029 - Adaptivno upravljanje scenarijima u VR terapiji PTSP-a (Ćosić, Krešimir, MZOS ) ( POIROT)
HRZZ-IP-2014-09-2625 - Iznad Nyquistove granice (BeyondLimit) (Seršić, Damir, HRZZ - 2014-09) ( POIROT)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Citiraj ovu publikaciju:

Dropuljić, Branimir; Petrinović, Davor; Ćosić, Krešimir
Novel Speech Features of Disturbances in Laryngeal Muscle Coordination // 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2016)
Wroclaw, Poland, 2016. str. 175-180 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Dropuljić, B., Petrinović, D. & Ćosić, K. (2016) Novel Speech Features of Disturbances in Laryngeal Muscle Coordination. U: 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2016).
@article{article, year = {2016}, pages = {175-180}, keywords = {speech perturbation features, fundamental frequency, laryngeal musculature, stress, speech under stress}, title = {Novel Speech Features of Disturbances in Laryngeal Muscle Coordination}, keyword = {speech perturbation features, fundamental frequency, laryngeal musculature, stress, speech under stress}, publisherplace = {Wroclaw, Poland} }
@article{article, year = {2016}, pages = {175-180}, keywords = {speech perturbation features, fundamental frequency, laryngeal musculature, stress, speech under stress}, title = {Novel Speech Features of Disturbances in Laryngeal Muscle Coordination}, keyword = {speech perturbation features, fundamental frequency, laryngeal musculature, stress, speech under stress}, publisherplace = {Wroclaw, Poland} }




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