Wildlife Acoustics Blog

Your New Guide to Understanding Kaleidoscope Pro

Your New Guide to Understanding Kaleidoscope Pro

Hey there! My name is Dave Roberts and I’m the “new guy” here at Wildlife Acoustics. I’m a technical writer and videographer with a background in audio engineering. I’m very excited to be on board with Wildlife Acoustics and I’m looking forward to providing our customers with quality watchable and readable information. In addition to technical writing and tutorial videos I’ve been invited to contribute some blog content. Here we go!

Your guide to Kaleidoscope Pro 5

Wildlife Acoustics has recently released a major upgrade for our Kaleidoscope Pro software. There are enhancements to existing functions, and some powerful new features have been added.

My first job was to write a new manual for Kaleidoscope Pro version 5. The manual is embedded in the software and you can also download it from our website.

I’ve set up the manual to be as practical as possible.

3 Tips to Prevent Wind Noise From Ruining Your Recordings

3 Tips to Prevent Wind Noise From Ruining Your Recordings

Field research presents a multitude of challenges, and wind noise may be one of the most frustrating. Not only is it out of our control, but excess wind can lead to distorted recordings, making it difficult to salvage the audio data that you are interested in analyzing. 

While you may not be able to take all the wind noise out of the recordings, you can significantly reduce its impact with a few simple tactics: 

Explaining Maximum Likelihood Estimators (MLE) and P-values used in Kaleidoscope

The U.S. Fish & Wildlife Service Indiana Bat Summer Survey Guidance describes the use of approved software programs. As part of their software testing criteria:

As species identifications are never perfect, all analysis programs must utilize a maximum-likelihood estimator  approach to determine species presence at the site rather than relying on a single sequence. Post-hoc maximum-likelihood estimator p-values will be used to determine acceptance thresholds for final identification determination. The maximum-likelihood estimator used by Kaleidoscope Pro is based on a 2002 paper by Britzke, Murray, Heywood, and Robbins "Acoustic Identification".

The method described takes two inputs. First, there are the classification results e.g. How many detections of each bat did the classifier find? Second, there is the confusion matrix representing the known error rates across all the classifiers. For example, 70% of MYLU calls are correctly classified as MYLU while 3% of MYLU calls are misclassified as MYSO, etc.

Wildlife Acoustics is proud to support wildlife conservation efforts

Merlin Tuttle's Bat Conservation Bat Conservation International Bat Conservation Trust Wildlife Habitat Counsil