Advances in Voice Diagnostics Through Technological Innovations

Abstract

Voice changes due to age, sex, physical characteristics such as weight and height, and mental and physical conditions. People can infer their emotions and physical conditions by simply listening to these changes. The evaluation of voice involves physical factors based on the periodic vibration of the vocal cords and perceptual factors, which makes uniform evaluation difficult. Therefore, various voice diagnostic methods have been developed for this purpose.

Acoustic analysis techniques have improved the accuracy due to advances in recording equipment and pitch extraction methods. Computer improvements have increased calculation speed, even as data volume rises, enabling the real-time display of measurements. In addition, recording levels no longer require adjustment, simplifying the analysis, and enhancing accuracy.

AI-based evaluations provide objective and reproducible voice disorder assessments and can accurately diagnose recurrent nerve palsy and laryngeal lesions. These technologies are expected to contribute to telemedicine and preventive medicine and serve as comprehensive diagnostic tools. Integrating AI and advanced recording technologies, along with voice diagnostics, has great potential for improving healthcare quality.