A Dataset and TinyML Model for Coarse Age Classification Based on Voice Commands

This study explores the emerging sub-discipline of Tiny Machine Learning (TinyML) in the specific context of classifying audio data. New problems arise from the anticipation of voice prevalence in future interfaces with machines, especially embedded ones, and the need to have embedded intelligence into those machines, which can be captured by the idea of TinyML. In particular, there is a lack of s...