README.md

In vrios/songspellR: Automates syllable detection and classification in bioacoustic analyses

songspellR

songspelleR development has been put on indefinite hiatus. R packages soundgen and warbler cover all of the intended functionality, and thus should be used instead

The goal of songspellR is to automate several tasks in bioacoustic analyses, specially syllable detection and classification, using a simplified and straightforward interface

Note that songspellR is still very much in beta stage, and may suffer major changes in funcionality and interface. It should not be used in serious applications yet

Installation

(not yet on cran) You can install the released version of songspellR when it becomes available from CRAN with:

install.packages("songspellR")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("vrios/songspellR")

Example

This is a basic example which shows you how to detect syllables and split a recording autommatically:

#library(songspellR)
## basic example code
#songs = findSyllables(plotSyllables  = T,dir(here::here("inst/extdata"), full.names = TRUE,include.dirs = T), samplingRate = 44100)
#syls = waveCutter(songs, write.specs = F)

vrios/songspellR documentation built on Dec. 23, 2021, 4:12 p.m.