Artificial Intelligence on Single Board Computers: An Experiment on Sound Event Classification

Abstract

Recent advances on the Internet of Things (IoT) enable intelligent computing algorithms on tiny hardware devices such as Single Board Computers (SBC). Among popular IoT applications, Sound event recognition and classification have enabled exciting and vital applications. Sound events carry information that is useful for our daily lives. The perception of surrounding events by humans depends strongly on audio signals. Awareness of what happens in the surrounding environment depends heavily on the ability of an individual to perceive sounds and accurately recognize events related to them. This paper presents a study using SBC for machine learning and deep learning-based application and finally evaluates the overall performances against a standard PC and a Raspberry Pi.