This article has the purpose of presenting an attempt to integrate autonomous navigation and the identification of emotions through sounds. here we present models of neural networks, data processing, either in the time or frequency domain, as well as SLAM applications to algorithms for position identification. All this acting together in the ROS to determine the speed of the vehicle.
