Authors: Assistant Professor Pradhyumna Yambar, G. Triveni
Abstract: The human voice is generated through a highly coordinated vocal production mechanism that enables individuals to regulate pitch, loudness, and speech quality. Various using machine learning techniques. The survey examines widely used voice disorder databases, commonly adopted feature extraction methods, and various ML algorithms employed for detecting and classifying pathological voice conditions. Furthermore, the strengths, limitations, and performance of different computational approaches are discussed to provide a better understanding of current developments in this field. The review highlights the growing significance of intelligent voice analysis systems and identifies future research directions for developing accurate, reliable, and efficient automated voice disorder detection frameworks.
