Anegono-hama beach represents a remarkable example of a singing sand beach, where the sand produces distinctive acoustic phenomena when the grains are stepped on or otherwise set into motion. This unique coastal environment has been facing significant problems due to severe erosion processes and pollution from anthropogenic activities that threaten the integrity of its coastal vegetation. To comprehensively evaluate the current state of this recovering coastal environment, this research implemented advanced deep learning methodologies as an innovative analytical approach. The primary objective was to accurately quantify the quartz content percentage in the beach sand, as singing sand is characterized by exceptionally high quartz content that is fundamentally linked to its acoustic properties and serves as a crucial indicator of environmental recovery.