This is a simple implementation of an algorithm for converting whistled sounds into vectors of time, frequency, and amplitude data that describe the contour of each whistle. The user determines the settings for separating whistles from background noise, as well as the number of landmarks to use when describing each sound.
|License:||GPL (>= 2)|
|soundpoints||reads a sound file and produces a spectrogram, high-resolution frequency contours, and a data frame of landmark data|
Benjamin N. Taft firstname.lastname@example.org
Maintainer: Landmark Acoustics LLC email@example.com
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.