Title :
Emotion from Game pidgin language using SVM
Author :
Rudra, Tarashankar ; Kavakli, Manolya ; Tien, David
Author_Institution :
Dept. of Comput., Macquarie Univ., Sydney, NSW, Australia
Abstract :
This paper explores the possibility of sensing emotional states of neutral or anger from pidgin utterances using Support vector machine (SVM). The objective of the paper is to show that in speech interactive computer games, a new language called Game pidgin language (GPL) can not only generate real time spoken response from the non-player-character but also capture and express emotions.
Keywords :
computer games; emotion recognition; human computer interaction; interactive systems; speech recognition; support vector machines; SVM; anger state; emotion recognition; game pidgin language; human-computer interaction; neutral state; speech interactive computer game; support vector machine; Animation; Data mining; Emotion recognition; Humans; Natural languages; Peer to peer computing; Speech processing; Support vector machine classification; Support vector machines; Vocabulary; GPL; Pidgin; SVM;
Conference_Titel :
Computing & Informatics, 2006. ICOCI '06. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-0219-9
Electronic_ISBN :
978-1-4244-0220-5
DOI :
10.1109/ICOCI.2006.5276526
