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Voice Controlled Games – The approach and challenges of implementing speech recognition and voice control in games

Strzałko Dominik

Annals of Computer Science and Information Systems

2021

Vol. 26

229--230

The subject of voice controlled games is quite underrated and exciting. Even though there are not that many papers focusing on that particular subject, we can find many papers describing both, concept of voice recognition, and controlling the game using natural language. The most illustrative example of usage of that kind of control are games in VR/AR/MR and games for people with disabilities. Moreover, almost every game can benefit from voice commands e.g. for controlling the user interface or units in strategy game. Therefore, voice controlled games are an interesting and innovative concept for game designers and developers.

Speech control for mobile robotic systems

Yuschenko A., Morozov D., Zhonin A.

Acta Mechanica et Automatica

2008

Vol. 2, no. 3

99-102

The experience and intelligence of human are necessary to fulfill the hazardous and responsible operations by mobile robot in undetermined environment. To make the control process more effective and simple for human the speech control may be used. The operator’s interface in this case may be created using the linguistic variables both for commands formalization and for information presentation. The speech controlled robot has to be an autonomous intelligent system capable to re-cognize the current situation and to adopt its behavior to real environment. To adopt the artificial intelligence to the human impression and reasoning the fuzzy logic principles may be used to create the knowledge base of a speech controlled robot. The simple manipulation and locomotion operations may be presented in form of fuzzy production rules. For complicated modes of behavior the procedure of fuzzy AI – planning have been proposed. The procedure of robot learning on the base of fuzzy neural networks has been developed .for the situations when human-operator can not formalize the fuzzy rules of robot behavior beforehand.