MAC-based Artificial Neural network for voice command recognition

Abstract

Artificial neural networks are one of the most popular families of machine learning algorithms of this decade. Although they exist since the middle of the last century, until recent years with the improvement of technology, they are being widely used in fields such as character, image, and voice recognition. There is a large number of works implementing neural networks for speech recognition; however, the approach has usually been for operation on a personal computer, which is not suitable for mobile applications. This article presents a neural network for voice command recognition, implemented in a compact FPGA card with low computational resources. In addition, it uses a multiplication and accumulation unit, called MAC, with which it achieves a smaller size and higher speed. This paper will be of interest to students or researchers working on machine learning mobile applications.