Hearing Threshold

Hearing threshold, the quietest sound a person can detect, is a crucial measure of auditory function, with research focusing on accurate and efficient assessment methods. Current efforts involve developing automated tools using machine learning, such as deep neural networks and random forests, to analyze audiograms and auditory brainstem responses, improving speed and objectivity compared to manual assessment. These advancements are significant for streamlining clinical diagnostics, enabling large-scale studies of hearing loss, and facilitating the development of personalized interventions like improved hearing aids and audio processing algorithms for individuals with varying hearing thresholds.