Automatic Bird Song Recognition |
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Page 24
... individual phonemes . The IBM group's system recognizes sentences , but does so by combining in a straightforward way models for words , which are made up of models for phonemes ( see Figures 8b and 8c to see how the combination is done ) ...
... individual phonemes . The IBM group's system recognizes sentences , but does so by combining in a straightforward way models for words , which are made up of models for phonemes ( see Figures 8b and 8c to see how the combination is done ) ...
Page 46
... individuals , than that done here . Experts can identify individuals in environments familiar to them [ BaP ] , hence ... individual recognition technique that may be generalized across species exists . In the case of the Tits , the song ...
... individuals , than that done here . Experts can identify individuals in environments familiar to them [ BaP ] , hence ... individual recognition technique that may be generalized across species exists . In the case of the Tits , the song ...
Page 48
... individual . As in handwriting , it is difficult to quantify style , but with a large number of song samples and sufficiently deep insight , perhaps one could begin to do so . Certainly some individual peculiarities were observed in ...
... individual . As in handwriting , it is difficult to quantify style , but with a large number of song samples and sufficiently deep insight , perhaps one could begin to do so . Certainly some individual peculiarities were observed in ...
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