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Emotional Speech Corpus of Croatian Language


Dropuljić, Branimir; Thomasz Chmura, Miłosz; Kolak, Antonio; Petrinović, Davor
Emotional Speech Corpus of Croatian Language // 7th International Symposium on Image and Signal Processing and Analysis / Sven Lončarić, Gianni Ramponi, Damir Seršić (ur.).
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2011. str. 95-100 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 528318 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Emotional Speech Corpus of Croatian Language

Autori
Dropuljić, Branimir ; Thomasz Chmura, Miłosz ; Kolak, Antonio ; Petrinović, Davor

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

Izvornik
7th International Symposium on Image and Signal Processing and Analysis / Sven Lončarić, Gianni Ramponi, Damir Seršić - Zagreb : University of Zagreb, Faculty of Electrical Engineering and Computing, 2011, 95-100

ISBN
978-953-184-159-7

Skup
7th International Symposium on Image and Signal Processing and Analysis (ISPA 2011)

Mjesto i datum
Dubrovnik, Hrvatska, 04-06.09.2011

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
emotional speech corpus; Croatian language; affective speech; acoustic features; linguistic features; automatic emotion recognition; automatic speech recognition

Sažetak
As a first step in developing an emotion recognition system from human voice, it is necessary to collect relevant set of emotionally rich utterances that will be used for system training. Thus, a first emotional speech corpus of Croatian language (KEG) was built and annotated. The collection and annotation process together with some interesting statistical properties of the designed corpus are described in this paper. Utterances were collected from both male and female speakers, from child age to adults, verbally expressing their emotions. Materials were taken from Internet and other public media sources, with the total duration of approximately 40 minutes. Emotion classification used for annotation has been based on 5 discrete emotional states: happiness, sadness, fear, anger and neutral state. For each of the non-neutral emotional states, the perceived intensity was also annotated in 10 steps. Preliminary KEG evaluation was performed by building and testing an emotion recognition system based on this specific corpus. Initial results are presented in this paper.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekti:
0036054
036-0000000-2029 - Adaptivno upravljanje scenarijima u VR terapiji PTSP-a (Ćosić, Krešimir, MZOS ) ( POIROT)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Davor Petrinović (autor)

Avatar Url Branimir Dropuljić (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Dropuljić, Branimir; Thomasz Chmura, Miłosz; Kolak, Antonio; Petrinović, Davor
Emotional Speech Corpus of Croatian Language // 7th International Symposium on Image and Signal Processing and Analysis / Sven Lončarić, Gianni Ramponi, Damir Seršić (ur.).
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2011. str. 95-100 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Dropuljić, B., Thomasz Chmura, M., Kolak, A. & Petrinović, D. (2011) Emotional Speech Corpus of Croatian Language. U: Sven Lončarić, Gianni Ramponi, Damir Seršić (ur.)7th International Symposium on Image and Signal Processing and Analysis.
@article{article, author = {Dropulji\'{c}, Branimir and Thomasz Chmura, Mi\losz and Kolak, Antonio and Petrinovi\'{c}, Davor}, year = {2011}, pages = {95-100}, keywords = {emotional speech corpus, Croatian language, affective speech, acoustic features, linguistic features, automatic emotion recognition, automatic speech recognition}, isbn = {978-953-184-159-7}, title = {Emotional Speech Corpus of Croatian Language}, keyword = {emotional speech corpus, Croatian language, affective speech, acoustic features, linguistic features, automatic emotion recognition, automatic speech recognition}, publisher = {University of Zagreb, Faculty of Electrical Engineering and Computing}, publisherplace = {Dubrovnik, Hrvatska} }
@article{article, author = {Dropulji\'{c}, Branimir and Thomasz Chmura, Mi\losz and Kolak, Antonio and Petrinovi\'{c}, Davor}, year = {2011}, pages = {95-100}, keywords = {emotional speech corpus, Croatian language, affective speech, acoustic features, linguistic features, automatic emotion recognition, automatic speech recognition}, isbn = {978-953-184-159-7}, title = {Emotional Speech Corpus of Croatian Language}, keyword = {emotional speech corpus, Croatian language, affective speech, acoustic features, linguistic features, automatic emotion recognition, automatic speech recognition}, publisher = {University of Zagreb, Faculty of Electrical Engineering and Computing}, publisherplace = {Dubrovnik, Hrvatska} }




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