Emotion detection from male speech in computer games

Autor:	David Tien, Manolya Kavakli, Tarashankar Rudra
Rok vydání:	2007
Předmět:	Pidgin Character (computing) business.industry Computer science Speech recognition media_common.quotation_subject Emotion detection Anger computer.software_genre Support vector machine Emotive Artificial intelligence business computer Natural language processing media_common
Zdroj:	TENCON 2007 - 2007 IEEE Region 10 Conference.
DOI:	10.1109/tencon.2007.4428779
Popis:	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).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c53254611f708d44db13ad02514203a4 https://doi.org/10.1109/tencon.2007.4428779 Zobrazit plný text záznamu