Most research into bottlenose dolphins' (Tursiops truncatus' ) capacity for communication has centered on tonal calls termed whistles, in particular individually distinctive contact calls referred to as signature whistles. While "non-signature" whistles exist, and may be important components of bottlenose dolphins' communicative repertoire, they have not been studied extensively. This is in part due to the difficulty of attributing whistles to specific individuals, a challenge that has limited the study of not only non-signature whistles but the study of general acoustic exchanges among socializing dolphins. In this paper, we propose the first machine-learning-based approach to identifying the source locations of semi-stationary, tonal, whistle-like sounds in a highly reverberant space, specifically a half-cylindrical dolphin pool. We deliver time-of-flight and normalized cross-correlation measurements to a random forest model for high-feature-volume classification and feature selection, and subsequently deliver the selected features into linear discriminant analysis, linear and quadratic Support Vector Machine (SVM), and Gaussian process models. In our 14-point setup, we achieve perfect classification accuracy and high (MAD of 0.6557 m, IQR = 0.3395 -1.5694) regression accuracy with fewer than 10,000 features. The regression models yielded better accuracy than the established Steered-Response (SRP) method when all training data were used, and comparable accuracy -even when interpolating at several meters -in the lateral directions when prompted to infer missing training data at testing sites, and at the advantage of significantly improved computation time and the potential for superior accuracy with more training data. 2 expect to find significant communicative capacity in dolphins given their complex social 3 structure [1-3], advanced cognition including the capacity for mirror self-recognition [4], 4 culturally transmitted tool-use and other behaviors [5], varied and adaptive foraging 5 strategies [6], and their capacity for metacognition [7]. Moreover, given dolphins' 6 well-studied acoustic sensitivity and echolocation ability [8-10], some researchers have 7 speculated that dolphin vocal communication might share properties with human 8 languages [11-13]. However, there is an insufficiency of work in this area to make 9 substantive comparisons. 13 communication research -research has focused on signature whistles, individually 14 distinctive whistles [14-16] that may convey an individual's identity to 15 conspecifics [15,17] and that can be mimicked, potentially to gain conspecifics' 16 attention [18].
17Signature whistle studies aside, most studies of bottlenose dolphin calls concern 18 group-wide repertoires of whistles and other, pulse-form call types [19][20][21][22][23]; there is a 19 paucity of studies that seek to examine individual repertoires of non-signature whistles 20 or the phenomenon of non-signature acoustic exchanges among dolphins. Regarding the 21 latter, difficulties with sound attribution...