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An apparatus for detecting and identifying birds based upon electronic analysis of their bird calls and songs and method for doing so by utilizing a step-by-step hierarchical method of breaking down bird vocalizations according to order, family, and species of the specific bird. Several embodiments

An apparatus for detecting and identifying birds based upon electronic analysis of their bird calls and songs and method for doing so by utilizing a step-by-step hierarchical method of breaking down bird vocalizations according to order, family, and species of the specific bird. Several embodiments of the apparatus are disclosed particularly a hand held computational device, microphone, audio capture card, user application software and a collection of prerecorded audio data.

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What is claimed is: 1. An apparatus for classifying portions of audio signals produced by a bird's vocal mechanism at a particular time of day, time of year, or location, comprising: a receiver for receiving the audio signals; a first memory medium for storing a first timespan of the audio signals

What is claimed is: 1. An apparatus for classifying portions of audio signals produced by a bird's vocal mechanism at a particular time of day, time of year, or location, comprising: a receiver for receiving the audio signals; a first memory medium for storing a first timespan of the audio signals received by the receiver; a second memory medium for storing the first timespan of the audio signals and a second timespan of the audio signals received by the receiver, the second timespan being subsequent to the first timespan; and a processor configured: to identify first regions in the audio signals stored on the first memory medium that are indicative of a bird's vocal mechanism by determining first regions that contain a pair of enharmonically related spectra shaped by a same resonant cavity; to transfer the first timespan of the audio signals from the first memory medium to the second memory medium when there are identified first regions; to store the second timespan of the audio signals in the second memory medium, the first timespan and the second timespan of the audio signals in the second memory medium constituting an audio signal sample; to identify second regions in the audio signal sample that are indicative of a bird's vocal mechanism as belonging to particular families by employing a dynamical synchronization method on the audio signal sample; to identify third regions in the audio signal sample that are indicative of a bird's vocal mechanism as belonging to particular species within the particular families by determining the likelihood of the particular species of producing the third regions at the particular time of day, time of year, or location; to record information in association with particular time locations of the audio signal sample, the information including the first regions and whether the first regions are indicative of a bird's vocal mechanism, the second regions and to which families the second regions indicate, and the third regions and to which species the third regions indicate; and to send to a display the audio signal sample, the first regions and an indication that the first regions correlate with a bird's vocal mechanism, the second regions and an indication to which of the particular families the second regions correlate, and the third regions and an indication to which of the particular species the third regions correlate. 2. An apparatus for classifying portions of audio signals produced by a bird's vocal mechanism at a particular time of day, time of year, or location, comprising: a memory medium for storing the audio signals; and a processor configured: to identify first regions in the audio signals that are indicative of a bird's vocal mechanism by determining first regions that contain a pair of enharmonically related spectra shaped by a same resonant cavity; and to identify second regions in the audio signals that are indicative of a bird's vocal mechanism as belonging to particular families. 3. The apparatus as claimed in claim 2, wherein the second regions are identified by employing a dynamical synchronization method on the audio signals. 4. The apparatus as claimed in claim 2, wherein the processor is further configured: to identify third regions in the audio signals that are indicative of a bird's vocal mechanism as belonging to particular species within the particular families by determining the likelihood of the particular species of producing the third regions at the particular time of day, time of year, or location. 5. The apparatus as claimed in claim 4, wherein the processor is further configured: to record information in association with particular time locations of the audio signals, the information including the first regions and whether the first regions are indicative of a bird's vocal mechanism, the second regions and to which families the second regions indicate, and the third regions and to which species the third regions indicate. 6. The apparatus as claimed in claim 5, wherein the processor is further configured: to send to a display the audio signals, the first regions and an indication that the first regions correlate with a bird's vocal mechanism, the second regions and an indication to which of the particular families the second regions correlate, and the third regions and an indication to which of the particular species the third regions correlate. 7. A method for classifying portions of audio signals produced by a bird's vocal mechanism at a particular time of day, time of year, or location, comprising: receiving the audio signals; storing a first timespan of the audio signals received by the receiver in a first memory medium; storing the first timespan of the audio signals and a second timespan of the audio signals received by the receiver in a second memory medium, the second timespan being subsequent to the first timespan; identifying first regions in the audio signals stored on the first memory medium that are indicative of a bird's vocal mechanism by determining first regions that contain a pair of enharmonically related spectra shaped by a same resonant cavity; transferring the first timespan of the audio signals from the first memory medium to the second memory medium when there are identified first regions; storing the second timespan of the audio signals in the second memory medium, the first timespan and the second timespan of the audio signals in the second memory medium constituting an audio signal sample; identifying second regions in the audio signal sample that are indicative of a bird's vocal mechanism as belonging to particular families by employing a dynamical synchronization method on the audio signal sample; identifying third regions in the audio signal sample that are indicative of a bird's vocal mechanism as belonging to particular species within the particular families by determining the likelihood of the particular species of producing the third regions at the particular time of day, time of year, or location; recording information in association with particular time locations of the audio signal sample, the information including the first regions and whether the first regions are indicative of a bird's vocal mechanism, the second regions and to which families the second regions indicate, and the third regions and to which species the third regions indicate; and displaying the audio signal sample, the first regions and an indication that the first regions correlate with a bird's vocal mechanism, the second regions and an indication to which of the particular families the second regions correlate, and the third regions and an indication to which of the particular species the third regions correlate. 8. A method for classifying portions of audio signals produced by a bird's vocal mechanism at a particular time of day, time of year, or location, comprising: identifying first regions in the audio signals that are indicative of a bird's vocal mechanism by determining first regions that contain a pair of enharmonically related spectra shaped by a same resonant cavity; and identifying second regions in the audio signals that are indicative of a bird's vocal mechanism as belonging to particular families. 9. The method as claimed in claim 8, wherein the second regions are identified by employing a dynamical synchronization method on the audio signals. 10. The method as claimed in claim 8, further comprising: identifying third regions in the audio signal sample that are indicative of a bird's vocal mechanism as belonging to particular species within the particular families by determining the likelihood of the particular species of producing the third regions at the particular time of day, time of year, or location. 11. The method as claimed in claim 10, further comprising: recording information in association with particular time locations of the audio signals, the information including the first regions and whether the first regions are indicative of a bird's vocal mechanism, the second regions and to which families the second regions indicate, and the third regions and to which species the third regions indicate. 12. The method as claimed in claim 11, further comprising: displaying the audio signals, the first regions and an indication that the first regions correlate with a bird's vocal mechanism, the second regions and an indication to which of the particular families the second regions correlate, and the third regions and an indication to which of the particular species the third regions correlate.