Use of machine learning algorithms for diagnosis and treatment of psychological pathologies

Abstract

Artificial intelligence (AI) and deep learning (ML) have been used for training and processing of massive data, allowing the improvement of systems, and making them more intelligent when making decisions. Speech Emotion Recognition (SER) is an area of voice research for speech emotion recognition, evaluating the voice signal and classifying different emotions. In recent years, technological advances in deep learning have helped (SER) to detect and classify emotions effectively, as speech signal processing methods are difficult due to the variety of emotion frequencies such as happy, angry, sad, neutral and others.