Techniques and applications of emotion recognition in speech (CROSBI ID 635892)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Lugović, Sergej ; Dunđer, Ivan ; Horvat, Marko
engleski
Techniques and applications of emotion recognition in speech
Affective computing opens a new area of research in computer science with the aim to improve the way how humans and machines interact. Recognition of human emotions by machines is becoming a significant focus in recent research in different disciplines related to information sciences and Human- Computer Interaction (HCI). In particular, emotion recognition in human speech is important, as it is the primary communication tool of humans. This paper gives a brief overview of the current state of the research in this area with the aim to underline different techniques that are being used for detecting emotional states in vocal expressions. Furthermore, approaches for extracting speech features from speech datasets and machine learning methods with special emphasis on classifiers are analysed. In addition to the mentioned techniques, this paper also gives an outline of the areas where emotion recognition could be utilised such as healthcare, psychology, cognitive sciences and marketing.
emotion recognition ; speech analysis ; machine learning ; acoustic signal processing ; linguistic speech features ; affective computing ; human-computer interaction
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Podaci o prilogu
1551-1556.
2016.
objavljeno
10.1109/MIPRO.2016.7522336
Podaci o matičnoj publikaciji
Proceedings of the 39th International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2016
Biljanović, Petar
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
978-953-233-086-1
Podaci o skupu
MIPRO 2016
predavanje
30.05.2016-03.06.2016
Opatija, Hrvatska
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo