Emotion detection from Female Speech in Computer Games

Tarashankar Rudra, Manolya Kavakli, David Tien

Research output: Book chapter/Published conference paperConference paper

1 Citation (Scopus)
22 Downloads (Pure)

Abstract

This paper proposes a novel approach for classifying emotional states of neutral or anger of female voice from artificial pidgin utterances using Support vector machine (SVM). The objective of the paper is to demonstrate that 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 in speech interactive computer games. The new language is applied to capture the emotion in speech of a game player to generate the corresponding emotive response from the non- player-character (NPC).
Original languageEnglish
Title of host publication4th ICITA
EditorsShi Guanfan
Place of PublicationSydney, Australia
PublisherMacquarie Scientific Press
Pages712-716
Number of pages5
ISBN (Electronic)9780980326703
Publication statusPublished - 2007
EventInternational Conference on Information Technology and Applications (ICITA) - Harbin, China, China
Duration: 15 Jan 200718 Jan 2007

Conference

ConferenceInternational Conference on Information Technology and Applications (ICITA)
CountryChina
Period15/01/0718/01/07

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