Emotion detection from male speech in computer games

Tarashankar Rudra, Manolya Kavakli, David Tien

Research output: Book chapter/Published conference paperConference paperpeer-review

2 Citations (Scopus)


This paper presents the experimental results of our method of classifying emotional states of neutral and anger of male voice from artificial pidgin utterances using Support vector machine (SVM). The objective of the paper is to demonstrate that a new genre of languages called Game pidgin language (GPL) that can not only be used to capture real time speech recognition, but can also generate response from the non-player-character. The emotion which is a floating point value can be used to generate the corresponding emotive response from the non-player-character (NPC).

Original languageEnglish
Title of host publicationTENCON 2007 - 2007 IEEE Region 10 Conference
Publication statusPublished - 01 Dec 2007
EventIEEE Region 10 Conference, TENCON 2007 - Taipei, Taiwan, Province of China
Duration: 30 Oct 200702 Nov 2007


ConferenceIEEE Region 10 Conference, TENCON 2007
Country/TerritoryTaiwan, Province of China


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