Review Sample Data for Bat and Noise Characteristics - SMART System

SMART System User Guide (Latest Software Version)

Core Product
SMART System
Accessory
SMART Software Version
1.3.9

To design effective alarms, you need to look for patterns in the types of bat calls and types of non-bat noise that any particular microphone is recording.

Procedure

  1. Vet your recordings to identify bat species and also mark any recordings that contained non-bat noise.
  2. Using a spreadsheet processor, look for patterns in call parameters that could be used to distinguish bats from noise.

    Imagine a common type of noise in your recordings produces shorter pulses than low-frequency bats, but narrower bandwidth than high-frequency bats. One strategy for distinguishing between bat calls and noise would be to create separate alarms for low- and high-frequency bats.

    The low-frequency alarm would look for sounds only up to a certain maximum frequency with pulses longer than a certain duration.

    The high-frequency alarm would look for sounds above a minimum frequency, wider than a specific bandwidth.

What to do next

Design alarms to take advantage of the patterns you have found in your data. Then, test how effectively they trigger for bat activity without triggering for noise.