Automatic Bird Song Recognition |
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Page 23
... phase . The recognition phase involves an acoustic preprocessor ( AP ) and a linguistic decoder ( LD ) . 7.3.1 . Acoustic Processor The acoustic processor ( AP ) is used both in the training and recognition phases . The AP converts the ...
... phase . The recognition phase involves an acoustic preprocessor ( AP ) and a linguistic decoder ( LD ) . 7.3.1 . Acoustic Processor The acoustic processor ( AP ) is used both in the training and recognition phases . The AP converts the ...
Page 30
... phase ( [ PL ] , p.4 ) represents its offset in time . Assuming that the x ( n ) are real rather than complex numbers ( as is the case with waveforms ) , then for m > N / 2 , X ( m ) is the complex conjugate of X ( N - m ) , hence the ...
... phase ( [ PL ] , p.4 ) represents its offset in time . Assuming that the x ( n ) are real rather than complex numbers ( as is the case with waveforms ) , then for m > N / 2 , X ( m ) is the complex conjugate of X ( N - m ) , hence the ...
Page 31
... transformed signal removes the phase information in the signal ; taking the logarithm of this result then de - emphasizes the relative contribution of the larger peaks of the spectrum . The inverse Fourier transform of this result 31.
... transformed signal removes the phase information in the signal ; taking the logarithm of this result then de - emphasizes the relative contribution of the larger peaks of the spectrum . The inverse Fourier transform of this result 31.
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