Abstract: A method for capturing and analyzing audio, in particular vocalizing animals, which uses the resulting analysis parameters to establish a database of identification characteristics for the vocalizations of known species. This database can then be compared against the parameters of unknown species to identify the species producing that vocalization type. The method uses a unique multi-stage method of analysis that includes first-stage analysis followed by segmentation of a vocalization into its structural components, such as Parts, Elements, and Sections. Further analysis of the individual Parts, Elements, Sections and other song structures produces a wide range of parameters which are then used to assign to a collection of identical, known species a diagnostic set of criteria. Subsequently, the vocalizations of unknown species can be similarly analyzed and the resulting parameters can be used to match the unknown data sample to the database of samples from a plurality of known species.

Abstract: A method for capturing and analyzing audio, in particular vocalizing animals, which uses the resulting analysis parameters to establish a database of identification characteristics for the vocalizations of known species. This database can then be compared against the parameters of unknown species to identify the species producing that vocalization type. The method uses a unique multi-stage method of analysis that includes first-stage analysis followed by segmentation of a vocalization into its structural components, such as Parts, Elements, and Sections. Further analysis of the individual Parts, Elements, Sections and other song structures produces a wide range of parameters which are then used to assign to a collection of identical, known species a diagnostic set of criteria. Subsequently, the vocalizations of unknown species can be similarly analyzed and the resulting parameters can be used to match the unknown data sample to the database of samples from a plurality of known species.