Autophonic Loudness

Autophonic loudness refers to the perceived loudness of one's own voice, a phenomenon influenced by both sensorimotor processes and the acoustic environment. Current research investigates how factors like phoneme, sound pressure level, and room acoustics affect this perception, often employing models based on modified Zwicker loudness calculations and machine learning to predict perceived loudness from spectral features. Understanding autophonic loudness is crucial for improving applications such as hearing aid fitting, dialogue enhancement in audio processing, and the design of virtual acoustic environments, where accurate perception of self-generated sound is paramount.