May 15, 2024, 4:42 a.m. | Whenty Ariyanti, Kai-Chun Liu, Kuan-Yu Chen, Yu Tsao

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.08342v1 Announce Type: cross
Abstract: Respiratory disease, the third leading cause of deaths globally, is considered a high-priority ailment requiring significant research on identification and treatment. Stethoscope-recorded lung sounds and artificial intelligence-powered devices have been used to identify lung disorders and aid specialists in making accurate diagnoses. In this study, audio-spectrogram vision transformer (AS-ViT), a new approach for identifying abnormal respiration sounds, was developed. The sounds of the lungs are converted into visual representations called spectrograms using a technique called …

abstract artificial artificial intelligence arxiv audio cs.lg cs.sd devices disease eess.as identification identify intelligence making research sound spectrogram study transformer treatment type vision

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