## Automatic Bird Song Recognition |

### From inside the book

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Page 11

The CDFE scans through the

listed below for each successive point Si in the digital sample. The purpose of the

steps is to maintain variables b and e so that at the end of the steps b always ...

The CDFE scans through the

**sample points**of the bird song repeating the 4 stepslisted below for each successive point Si in the digital sample. The purpose of the

steps is to maintain variables b and e so that at the end of the steps b always ...

Page 35

Phoneticians and other sound researchers are accustomed to seeing sonagrams

on which the horizontal axis is time, the vertical axis is frequency (mR/N), where F

is the sampling frequency of the N

Phoneticians and other sound researchers are accustomed to seeing sonagrams

on which the horizontal axis is time, the vertical axis is frequency (mR/N), where F

is the sampling frequency of the N

**sample points**, and the magnitude of the ...Page 54

Proof: The excursion cycle (EC) lengths will be a mix of the largest number below

the ratio of the sampling rate to the excursion cycle length, call it x, and the

smallest number larger than the ratio, x+1. In any sequence of b

full ...

Proof: The excursion cycle (EC) lengths will be a mix of the largest number below

the ratio of the sampling rate to the excursion cycle length, call it x, and the

smallest number larger than the ratio, x+1. In any sequence of b

**sample points**, afull ...

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60 Figure acoustic algorithm analysis average amplitude avian bird song bird species California Quail calls CDFE cepstral cepstral peak Cepstrum chirp feature vectors chirp list Clark's Nutcracker comparison Computer congruent corresponding described in Section detected difference dynamic time warping entire song excursion cycle Figure 11b formula Frequency Frequency Duration glottal Greenewalt harmonics Hence High Low High House Finch human speech recognition I I I individual inter-note distances internal tympaniform membranes Itakura distance length Linear Prediction Low High Low magnitude Markov models noise Olive-sided Flycatcher phase 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 spectrum squawk Steller's Jay subsource Swainson's Thrush syntactic Theorem thesis trachea Typical upward zero crossing vibration vocal tract Warbling Vireo waveform Western Meadowlark whistled White-crowned Sparrow