Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

Techniques and applications of emotion recognition in speech (CROSBI ID 635892)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Lugović, Sergej ; Dunđer, Ivan ; Horvat, Marko Techniques and applications of emotion recognition in speech // Proceedings of the 39th International Convention on Information and Communication Technology, Electronics and Microelectronics MIPRO 2016 / Biljanović, Petar (ur.). Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2016. str. 1551-1556 doi: 10.1109/MIPRO.2016.7522336

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

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

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

Poveznice