Acoustic-based drill state detection has been introduced to classify different types of bone tissue during drilling by analyzing audio signals recorded from the area of operation. The first approaches achieved this task using signal processing-based techniques. A power spectral density based classification system was introduced by Sun et al. and evaluated in an experimental setup with five porcine scapulae using an air-borne room microphone31. Yu et al. proposed a sound-based solution for distinguishing between cortical and cancellous bone during surgical milling utilizing a wavelet package transform energy based state identification32.