Emotional Speech Corpus of Croatian Language (CROSBI ID 576020)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Dropuljić, Branimir ; Thomasz Chmura, Miłosz ; Kolak, Antonio ; Petrinović, Davor
engleski
Emotional Speech Corpus of Croatian Language
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.
emotional speech corpus; Croatian language; affective speech; acoustic features; linguistic features; automatic emotion recognition; automatic speech recognition
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Podaci o prilogu
95-100.
2011.
objavljeno
Podaci o matičnoj publikaciji
7th International Symposium on Image and Signal Processing and Analysis
Sven Lončarić, Gianni Ramponi, Damir Seršić
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
978-953-184-159-7
1845-5921
Podaci o skupu
7th International Symposium on Image and Signal Processing and Analysis (ISPA 2011)
predavanje
04.10.2011-06.10.2011
Dubrovnik, Hrvatska