Automatic Bird Song Recognition |
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Page 9
... entire song recording ; 2 ) the sequence is at least c seconds long ; 3 ) there is no initial or final segment in the sequence with average absolute value less than a times the maximum value in the entire song recording ; and 4 ) there ...
... entire song recording ; 2 ) the sequence is at least c seconds long ; 3 ) there is no initial or final segment in the sequence with average absolute value less than a times the maximum value in the entire song recording ; and 4 ) there ...
Page 10
... song , and then this song feature set is classified as representing a particular species . Thus the entire classification system may be viewed as follows : A A / D Converter B C CDFE Song Feature Extractor D Statistical E Classifier ...
... song , and then this song feature set is classified as representing a particular species . Thus the entire classification system may be viewed as follows : A A / D Converter B C CDFE Song Feature Extractor D Statistical E Classifier ...
Page 15
... entire song and then making a statistical classification based on them . The features were chosen as the result of insights gained by studying the chirp feature vector lists . The ten song features are : 1 ) Median value of the scatter ...
... entire song and then making a statistical classification based on them . The features were chosen as the result of insights gained by studying the chirp feature vector lists . The ten song features are : 1 ) Median value of the scatter ...
Common terms and phrases
ACOUSTIC SUBSOURCE algorithm analysis average amplitude avian bird song recognition bird species California Quail calls CDFE centisecond cepstral cepstral peak Cepstrum chirp feature vectors chirp list Clark's Nutcracker comparison Computer congruent corresponding described in Section detected difference duration dynamic time warping entire song excursion cycle Figure 11b formula Greenewalt harmonics Hence High Low High House Finch human speech recognition individual integer inter-note distances internal tympaniform membranes Inverse Fourier Transform Itakura distance length Linear Prediction low frequency LPC distance metric magnitude Markov models noise Olive-sided Flycatcher phonemes present point range recognition system recordings represented ripples sample points sampling rate Scrub Jay segment of speech sequence of labels signal similar sine wave sonagrams song feature Song Sparrow sound spectral peaks spectrum squawk Steller's Jay SUBSOURCE OF PHONE Swainson's Thrush syntactic Theorem thesis trachea Typical upward zero crossing vocal tract Warbling Vireo waveform Western Meadowlark whistled White-crowned Sparrow