Emotion-Based Frequency Recommendation and Healing System Using Speech Analysis

In this paper, we introduce the Emotion-Based Frequency Recommendation and Healing System using Speech Analysis that focuses on treating a user's emotional needs using speech analysis methods. The system recognises the basic emotion of speakings including happy, sad, fear, anger and neutral through machine learning algorithm. The therapy part prescribes a frequency based therapy once the emotion is recognized, like binaural beats or isochronic tones for users to regulate their emotions. In this context, the system is designed to follow the users' emotions fluctuation, and as a result, the therapeutic interventions are delivered based on the users' emotional experience in real-time. This paper describes the proposed system, methodology, and the system architecture as well as the evaluation outcomes.