The objective of this project is to analyze the emotional content of sounds by exploring theoretical information features like entropy, complexity, chaoticity to characterize sounds having or not emotional content. These features will be analyzed using statistical tools and will be used to train machine learning classification models. We will not only use benchmarking databases but will record our own database of sounds associated to their emotional content, provided by users on the net.