Proceedings of Summer Conference, Digital Game Research Association JAPAN
Online ISSN : 2758-4801
2022 Summer Conference
Session ID : In-1
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Interactive session
Application of Acoustic Feature Recognition Technology for NPC Emotion Expression in Games
*Maria KURODA*Yoshihisa KANEMATSU*Suguru MATSUYOSHI*Hirokazu YASUHARA*Koji MIKAMI
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CONFERENCE PROCEEDINGS OPEN ACCESS

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Abstract
Speech recognition technology is developing due to the improvement of recording technology and the advent of deep learning technology. In the game, various works using voice recognition have been released, starting with the family computer that appeared in the 1980s.In this research, we have developed a system that changes the reaction and response of NPCs by inferring emotions from the acoustic information spoken by the player. For emotion analysis, we used “UserLocal”, which is a voice recognition sentiment analysis web API, and implemented it using the game engine Unity.
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© DiGRA JAPAN
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