Patent ID: 9177559
Filing Date: 2015-11-03
Classification: G10L

Abstract:
1. A method for identifying the species, appearance or other characteristics of an animal based on vocalizations, comprising: a. capturing the sound of an animal vocalization onto a digital device as sampled digital audio data; b. performing signal analysis on the sampled digital audio data to extract a plurality of analysis features comprising one or more of: spectral peak, spectral centroid, spectral variety, spectral harmonicity, RMS amplitude, RMS delta, and spectral peak delta, which describe low-level time-domain and/or frequency-domain properties of the sampled digital audio data; c. using the plurality of analysis features to perform audio onset detection, event delineation and event grouping to determine break-points in time that describe individual time-segments or notes (hereinafter “Elements”) and groups of Elements, (hereinafter “Phrases”) of the vocalization captured in the sampled digital audio data; d. using the plurality of analysis features and audio onset detection/segmentation results, perform Element and Phrase analysis to extract a plurality of high-level symbolic features, the plurality of defined high level Element/Phrase features comprising one or more of: e. using information in the plurality of low-level analysis features and high-level symbolic features to identify a match within a collection of similar features extracted or derived from vocalizations of a plurality of animals of a plurality of known species.