Marine animal sound classification
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Software was developed to measure characteristics of marine animal sounds (AcouStat). These measurements proved effective for classifying sounds in several contexts: identifying species, quantifying the repertoire of a single species, and identifying individuals. The sound measures included statistics for aggregate bandwidth, intensity, duration, amplitude modulation, frequency modulation, center frequency, and interactions among these variables. Classification analysis based on these measures suggests they adequately characterize the variability of bioacoustic signals for many problems. Correct classification to species was as high as 85%, and correct classification of dolphin whistles to individual was 90%.
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Watkins, William A.; Fristrup, Kurt M.; Daher, Mary Ann; Howald, Terrance J. (Woods Hole Oceanographic Institution, 1992-08)The SOUND database system for marine animal vocalizations has been updated to include changes in the structure and operations that have evolved with use. These include more convenient operations, greater flexibilty in ...
Fristrup, Kurt M.; Watkins, William A. (Woods Hole Oceanographic Institution, 1992-01)Software tools were designed to characterize the acoustic features of marine animal sounds. These have resulted in a set of calculated measurements that summarize particular aspects of sound sequences. The specificity ...
Watkins, William A.; Fristrup, Kurt M.; Daher, Mary Ann (Woods Hole Oceanographic Institution, 1991)The Marine Animal SOUND Database system encompasses (1) descriptive text databases cataoging the WHOI collection of underwater sound recordings from marine animal, (2) sets of files of digital sound sequences, (3) text ...