Automatic Bird Song Recognition |
From inside the book
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Page 1
Edward R. Oswalt. ABSTRACT This thesis presents a computer system capable of identifying bird species from recordings of calls or songs typical of the species . Each recording is converted into a list of chirp feature vectors ( one ...
Edward R. Oswalt. ABSTRACT This thesis presents a computer system capable of identifying bird species from recordings of calls or songs typical of the species . Each recording is converted into a list of chirp feature vectors ( one ...
Page 18
... species . If there is a species for which every song feature of a recording falls in the range for that feature in the species , we say the recording falls in the range of the species . Of the 225 recordings ( of 28 species ) , 185 fall ...
... species . If there is a species for which every song feature of a recording falls in the range for that feature in the species , we say the recording falls in the range of the species . Of the 225 recordings ( of 28 species ) , 185 fall ...
Page 19
... birds by a species - specific model technique described in the next section , and using the Bayesian - maximum - likelihood estimate when this fails , 125 of the 225 songs are correctly classified . This is a legitimate estimate of the ...
... birds by a species - specific model technique described in the next section , and using the Bayesian - maximum - likelihood estimate when this fails , 125 of the 225 songs are correctly classified . This is a legitimate estimate of the ...
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