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warbleR

A tool to streamline the analysis of animal acoustic signal structure. The package offers functions for downloading avian vocalizations from the open-access online repository Xeno-Canto, displaying the geographic extent of the recordings, manipulating sound files, detecting acoustic signals or importing detected signals from other software, assessing performance of methods that measure acoustic similarity, conducting cross-correlations, dynamic time warping, measuring acoustic parameters and analysing interactive vocal signals, among others. Functions working iteratively allow parallelization to improve computational efficiency.The code in warbleR can be executed by less experienced R users, but has also been thoroughly commented, which will facilitate further customization by advanced users.

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Install

install.packages('warbleR')

Monthly Downloads

7,146

Version

1.1.7

License

GPL (>= 2)

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Repository

https://github.com/maRce10/warbleR

Maintainer

Marcelo ArayaSalas

Last Published

April 24th, 2017

Functions in warbleR (1.1.7)

Audio recording #1 of

Automatically detect vocalizations in sound files

Acoustic recording of

Audio recording #1 of

Check selection data frames

Check .wav files

Create catalog of vocal signals

Audio recording #2 of

Audio recording #3 of

Fix .wav files to allow importing them into R

Extract the fundamental frequency values as a time series

Subset selection data frames based on manually filtered image files

Randomization test for singing coordination

Acoustic dissimilarity using dynamic time warping on dominant frequency contours

Extract the dominant frequency values as a time series

Acoustic dissimilarity using dynamic time warping on fundamental frequency contours

Interactive view of spectrograms

Convert .mp3 files to .wav

Import Raven selections

Access Xeno-Canto recordings and metadata

Data frame of selections (i.e. selection table).

Measure the duration of sound files

Maps of Xeno-Canto recordings by species

Measure acoustic parameters in batches of sound files

Spectrograms of selected signals

Spectrogram cross-correlation

Pairwise plots of spectrogram cross-correlation scores

Import Syrinx selections

warbleR-internals

Spectrograms with background noise margins

Create long spectrograms of whole sound files

compare.methods

Assessing the performance of acoustic distance measurements

Coordinated singing graphs

selection.files

Selections files from Raven and Syrinx.

Interactive view of spectrograms to tailor start and end of selections

Spectrograms with frequency measurements

warbleR: A package to streamline bioacoustic analysis

Extract the spectral entropy across signals as a time series

Measure signal-to-noise ratio

Simulated coordinated singing events.