1. A method, comprising: transmitting, by one or more audio sources, an audio signal; receiving, at one or more sensors coupled to the wearable computing device, an airborne version of the audio signal, modified by an environment of the wearable computing device; processing the airborne version of the audio signal to obtain an impulse response parameter and a power spectrum parameter; comparing the obtained impulse response and power spectrum parameters with at least one classifier of a support vector machine (SVM) model, wherein the at least one classifier is associated with one or more worn states of the wearable computing device, and wherein the SVM model correlates an impulse response parameter and a power spectrum parameter of one or more reference signals; and based on the comparison of the obtained impulse response and power spectrum parameters with the at least one classifier of the SVM model, determining, from the one or more worn states, a worn state of the wearable computing device.