Recent reductions in the size and cost of autonomous data collection equipment have allowed ecologists to better and more efficiently survey their study sites (Acevedo & Villanueva-Rivera, 2006). Much work has been done to examine the benefits of using camera trap networks to detect shy and retiring species whose detection probabilities greatly decrease in the presence of human researchers (O'Connell et al., 2010). However, many species for which remote surveying techniques are optimal are difficult to properly monitor with camera traps due to their small body sizes and/or preference for heavy vegetative cover (Newey et al., 2015). A number of these species, particularly interior forest birds, are much easier to detect via acoustic monitoring techniques due to their frequent, far-carrying vocalizations, and battery-operated automated recording units (ARUs) have recently become a cost-effective option for researchers