Fuzzy-logic controller for speaker-independent speech recognition system in computer games

Abstract

Computer Games are now a part of modern culture. By using automatic speech recognition systems (ASRS), voice driven commands can be used to control the game, which can open up the possibility for people with disabilities and age related problems to be included in game communities and use the service offerered. Conventional speech recognition systems however, do not support emotions, attitudes, tones etc. This is a problem because such expressions can be vital for gaming, especially as the majority of the users to be considered for this operation are elderly adult. For instance, if a command is uttered in a low pitch the character in the game can act differently than when it is voiced in an elevated pitch. The traditional voice controller for such operation is usually based on logic or a probability supported algorithm that can serve the purpose but has certain limitations like long process time, cost and complexity in implementation. This paper proposes a fuzzy logic based controller to detect a user's emotion from their voice command for controlling the game in a different ways. This fuzzy logic controller can be programmed even on a microchip to drive certain voice driven actions as a built-in form of hardware. To use a fuzzy logic controller, instead of an approach based on traditional algorithms, gives more accuracy, control and efficiency when handling the user's voice input commands for manipulation. © 2011 Springer-Verlag.