Acoustic Analysis and Prediction of Type 2 Diabetes Mellitus Using Smartphone-Recorded Voice Segments

Voice has emerged as a promising candidate for pathology detection and screening. It is noninvasive, inexpensive, and convenient, as voices can be recorded using a smartphone or portable device.