Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 868592

Evaluation of Speech Perturbation Features for Measuring Authenticity in Stress Expressions


Dropuljić, Branimir; Mršić, Leo; Kopal, Robert; Skansi, Sandro; Brkić, Andrijana
Evaluation of Speech Perturbation Features for Measuring Authenticity in Stress Expressions // Lecture notes in computer science / Lecture Notes in Artificial Intelligence, 10191 (2017), 1; 685-694 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 868592 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Evaluation of Speech Perturbation Features for Measuring Authenticity in Stress Expressions

Autori
Dropuljić, Branimir ; Mršić, Leo ; Kopal, Robert ; Skansi, Sandro ; Brkić, Andrijana

Izvornik
Lecture notes in computer science / Lecture Notes in Artificial Intelligence (0302-9743) 10191 (2017), 1; 685-694

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

Ključne riječi
speech perturbation features ; authenticity analysis ; emotional stress ; speech under stress

Sažetak
Expressions can vary by the authenticity level, i.e. the real amount of emotion present within the person when expressing it. They are often sincere, and thus authentic and natural ; the person expresses what he/she feels. But play- acted expressions are also present in our lives in a form of deception, movies, theater, etc. It was shown in the literature that those two type of expressions are often hard to distinguish. While some studies concluded that play-acted expressions are more intense, exaggerated or stereotypical than the natural ones, other authors failed to detect such a behavior. The goal of our analysis is to investigate whether speech perturbation features, i.e. jitter, shimmer, variance and features of disturbances in laryngeal muscle coordination, can be used as a robust measure for the analysis of the stress expression authenticity. Two subsets of the SUSAS database (Speech Under Simulated and Actual Stress) – the Roller-coaster subset and the Talking Styles Domain – are used for this purpose. It was shown that perturbation features in general show statistically significant difference between realistic and acted expressions, only the jitter features generally failed to discriminate these two type of expressions. The rising trend of perturbation feature values is observed from acted- to real-stress expressions.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove:
Sveučilište u Zagrebu,
Visoko učilište Algebra, Zagreb

Profili:

Avatar Url Sandro Skansi (autor)

Avatar Url Robert Kopal (autor)

Avatar Url Branimir Dropuljić (autor)

Avatar Url Leo Mršić (autor)


Citiraj ovu publikaciju:

Dropuljić, Branimir; Mršić, Leo; Kopal, Robert; Skansi, Sandro; Brkić, Andrijana
Evaluation of Speech Perturbation Features for Measuring Authenticity in Stress Expressions // Lecture notes in computer science / Lecture Notes in Artificial Intelligence, 10191 (2017), 1; 685-694 (međunarodna recenzija, članak, znanstveni)
Dropuljić, B., Mršić, L., Kopal, R., Skansi, S. & Brkić, A. (2017) Evaluation of Speech Perturbation Features for Measuring Authenticity in Stress Expressions. Lecture notes in computer science / Lecture Notes in Artificial Intelligence, 10191 (1), 685-694.
@article{article, author = {Dropulji\'{c}, Branimir and Mr\v{s}i\'{c}, Leo and Kopal, Robert and Skansi, Sandro and Brki\'{c}, Andrijana}, year = {2017}, pages = {685-694}, keywords = {speech perturbation features, authenticity analysis, emotional stress, speech under stress}, journal = {Lecture notes in computer science / Lecture Notes in Artificial Intelligence}, volume = {10191}, number = {1}, issn = {0302-9743}, title = {Evaluation of Speech Perturbation Features for Measuring Authenticity in Stress Expressions}, keyword = {speech perturbation features, authenticity analysis, emotional stress, speech under stress} }
@article{article, author = {Dropulji\'{c}, Branimir and Mr\v{s}i\'{c}, Leo and Kopal, Robert and Skansi, Sandro and Brki\'{c}, Andrijana}, year = {2017}, pages = {685-694}, keywords = {speech perturbation features, authenticity analysis, emotional stress, speech under stress}, journal = {Lecture notes in computer science / Lecture Notes in Artificial Intelligence}, volume = {10191}, number = {1}, issn = {0302-9743}, title = {Evaluation of Speech Perturbation Features for Measuring Authenticity in Stress Expressions}, keyword = {speech perturbation features, authenticity analysis, emotional stress, speech under stress} }

Časopis indeksira:


  • Scopus





Contrast
Increase Font
Decrease Font
Dyslexic Font