Despite huge variation in the biology of frogs (Anura), males reliably exhibit a characteristic call during breeding to attract females. Other vertebrate taxa with similar breadth in vocalization (i.e., birds and mammals) have evolved such complex acoustic signals that parameterization into discrete, inclusive features is largely precluded. The absence of this hurdle in frogs provides an excellent opportunity for comparative studies in call evolution. Here I explore the extent to which frogs calls in the family Hylidae can be inclusively and informatively tabulated (like features such as dominant frequency and pulse structure) automatically using machine learning techniques for the purposes of downstream comparative phylogenetic analyses.