The Voice of Feeling: Exploring Emotions via Machine Learning

This paper encapsulates the project 'Emotion Detection From Voice With Machine Learning Techniques', emphasizing the construction of a reliable system adept at discerning and delineating emotions conveyed within audio recordings. Employing sophisticated machine learning methodologies, notably Convolutional Neural Networks (CNNs), the endeavours seeks to furnish intricate emotion classification reliant on the inherent acoustic attributes of human speech. Through the fusion of machine learning prowess and acoustic analysis, the system endeavours to deliver nuanced insights into emotional expression, thereby fostering advancements in fields such as affective computing, human-computer interaction, and psychological research. By harnessing the power of AI-driven emotion detection, the project underscores its potential to contribute significantly to the understanding and interpretation of human emotions through the medium of voice.