Voice Interactive Games
Document Type
Conference Proceeding
Publication Date
10-10-2019
Publication Title
2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
Publisher
Institute of Electrical and Electronics Engineers
Publisher Location
New York, NY
First page number:
780
Last page number:
784
Abstract
Computer games are being controlled by joysticks or the keys of the computer keyboard, especially the four arrow keys, or the WASD, or both, and other keys of the keyboard. In this research paper we describe a new algorithm that replaces control with joystick or the arrow keys with voice commands. Thus, we replace the left arrow key with the voice command “left”, the right arrow key with the voice command “right”, the up-arrow key with the voice command “up”, and the down arrow key with the voice command “down”. In order to do that we first develop a new convolutional neural network architecture, then we teach the architecture how to recognize the words “lef”, “right”, “up”, “down”, with extremely high accuracy and very low probability of misclassification. Once the Convolutional Neural Network (CNN) is taught to recognize these words, we use the feedforward part of the network in our game programs so that they can capture, real time, the voice input commands of the player and play the game. The advantage of using the voice commands is that for many players it is easier, faster, eliminates the chance of pushing the wrong key by mistake, and provides a better player experience. We also present a pong game in Unity where the paddle controller uses our algorithm to control the two paddles of the game.
Keywords
CNN; Voice recognition; Voiced and Unvoiced part of the voice signals; Deep learning; Machine learning
Disciplines
Artificial Intelligence and Robotics | Game Design
Language
English
Repository Citation
Piotrowski, P.,
Yfantis, E. A.,
Campagna, A.,
Cornu, Q.,
Gallitano, G. M.
(2019).
Voice Interactive Games.
2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
780-784.
New York, NY: Institute of Electrical and Electronics Engineers.
http://dx.doi.org/10.1109/UEMCON47517.2019.8993015