Package: ohun 1.0.4

Marcelo Araya-Salas

ohun: Optimizing Acoustic Signal Detection

Facilitates the automatic detection of acoustic signals, providing functions to diagnose and optimize the performance of detection routines. Detections from other software can also be explored and optimized. This package has been peer-reviewed by rOpenSci. Araya-Salas et al. (2022) <doi:10.1101/2022.12.13.520253>.

Authors:Marcelo Araya-Salas [aut, cre], Alec L. Robitaille [rev], Sam Lapp [rev]

ohun_1.0.4.tar.gz
ohun_1.0.4.zip(r-4.7)ohun_1.0.4.zip(r-4.6)ohun_1.0.4.zip(r-4.5)
ohun_1.0.4.tgz(r-4.6-any)ohun_1.0.4.tgz(r-4.5-any)
ohun_1.0.4.tar.gz(r-4.6-any)
ohun_1.0.4.tgz(r-4.5-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ohun/json (API)
NEWS

# Install 'ohun' in R:
install.packages('ohun', repos = c('https://ropensci.r-universe.dev', 'https://cloud.r-project.org'))

Reviews:rOpenSci Software Review #568

Bug tracker:https://github.com/ropensci/ohun/issues

Pkgdown/docs site:https://docs.ropensci.org

Datasets:
  • lbh_reference - Example data frame of a selection table including all sound events of interests
  • lbh1 - Long-billed hermit recording
  • lbh2 - Long-billed hermit recording

On CRAN:

Conda:

audio-processingbioacousticssound-event-detectionspectrogramstreamline-analysis

7.08 score 18 stars 1 packages 50 scripts 384 downloads 21 exports 82 dependencies

Last updated from:98d3c46aba (on master). Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK213
pkgdown docsOK273
source / vignettesOK289
linux-release-x86_64OK174
macos-release-arm64OK149
macos-oldrel-arm64OK105
windows-develOK138
windows-releaseOK135
windows-oldrelOK155
wasm-releaseOK160

Exports:consensus_detectiondiagnose_detectionenergy_detectorfeature_acoustic_datafeature_referencefilter_detectionget_envelopesget_templateslabel_detectionlabel_spectromerge_overlapsoptimize_energy_detectoroptimize_template_detectorplot_detectionreassemble_detectionsplit_acoustic_datasummarize_acoustic_datasummarize_diagnosticsummarize_referencetemplate_correlatortemplate_detector

Dependencies:askpassbackportsbase64encbioacousticsbitopsbriocallrcheckmateclassclassIntclicpp11crayoncurlDBIdescdiffobjdigestdtwe1071evaluatefarverfastmapfftwfsggplot2gluegtablehighrhtmltoolshttrigraphisobandjsonliteKernSmoothknitrlabelinglatticelifecyclemagrittrMASSMatrixmimemomentsmonitoRNatureSoundsopensslpbapplypkgbuildpkgconfigpkgloadpraiseprocessxproxypsR6RColorBrewerRcppRCurlrjsonrlangrprojroots2S7scalesseewavesfsignalstringistringrsystestthattuneRunitsvctrsviridisLitewaldowarbleRwithrwkxfunyaml

Optimizing sound event detection

Marcelo Araya-Salas, PhD

Rendered fromintro_to_ohun.Rmdusingknitr::rmarkdownon Apr 15 2026.

Last update: 2025-07-22
Started: 2023-06-09

Template-based detection

Marcelo Araya-Salas, PhD

Rendered fromtemplate_based_detection.Rmdusingknitr::rmarkdownon Apr 15 2026.

Last update: 2025-07-22
Started: 2023-06-05

Energy-based detection

Marcelo Araya-Salas, PhD

Rendered fromenergy_based_detection.Rmdusingknitr::rmarkdownon Apr 15 2026.

Last update: 2025-07-22
Started: 2023-06-05