## Automatic Bird Song Recognition |

### From inside the book

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Page 13

Since these tend to be low frequency sources, and since the false chirps usually

have durations near the minimum chirp

low frequency noise overlaps an actual chirp, the features for the chirp would be

...

Since these tend to be low frequency sources, and since the false chirps usually

have durations near the minimum chirp

**length**, they have few zero crossings. If alow frequency noise overlaps an actual chirp, the features for the chirp would be

...

Page 53

... then the fraction of excursion cycles (after the digitization) that have

differing by one from the preceding excursion cycle's

24s). Proof: The excursion cycle (EC)

... then the fraction of excursion cycles (after the digitization) that have

**length**differing by one from the preceding excursion cycle's

**length**is * if #&#, otherwise24s). Proof: The excursion cycle (EC)

**lengths**will be a mix. 53 *rado. ...Page 54

Proof: The excursion cycle (EC)

the ratio of the sampling rate to the excursion cycle

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

full ...

Proof: The excursion cycle (EC)

**lengths**will be a mix of the largest number belowthe ratio of the sampling rate to the excursion cycle

**length**, call it x, and thesmallest number larger than the ratio, x+1. In any sequence of b sample points, a

full ...

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### Common terms and phrases

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