Package: ohun 1.0.2

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_1.0.2.tar.gz
ohun_1.0.2.zip(r-4.6)ohun_1.0.2.zip(r-4.5)ohun_1.0.2.zip(r-4.4)
ohun_1.0.2.tgz(r-4.5-any)ohun_1.0.2.tgz(r-4.4-any)
ohun_1.0.2.tar.gz(r-4.6-any)ohun_1.0.2.tar.gz(r-4.5-any)
ohun_1.0.2.tgz(r-4.5-emscripten)ohun_1.0.2.tgz(r-4.4-emscripten)
ohun.pdf |ohun.html✨
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 site:https://docs.ropensci.org

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

On CRAN:

Conda:

audio-processingbioacousticssound-event-detectionspectrogramstreamline-analysis

6.75 score 16 stars 1 packages 26 scripts 308 downloads 20 exports 86 dependencies

Last updated 9 months ago from:2be88b518b (on master). Checks:11 OK. Indexed: yes.

TargetResultTotal timeArtifact
linux-devel-x86_64OK169
pkgdown docsOK262
source / vignettesOK295
linux-release-x86_64OK208
macos-release-arm64OK102
macos-oldrel-arm64OK157
windows-develOK140
windows-releaseOK209
windows-oldrelOK171
wasm-releaseOK183
wasm-oldrelOK204

Exports:consensus_detectiondiagnose_detectionenergy_detectorfeature_acoustic_datafeature_referencefilter_detectionget_envelopesget_templateslabel_detectionlabel_spectromerge_overlapsoptimize_energy_detectoroptimize_template_detectorplot_detectionsplit_acoustic_datasummarize_acoustic_datasummarize_diagnosticsummarize_referencetemplate_correlatortemplate_detector

Dependencies:askpassbackportsbase64encbioacousticsbitopsbriocallrcheckmateclassclassIntclicpp11crayoncurlDBIdescdiffobjdigestdtwe1071evaluatefarverfastmapfftwfsggplot2gluegtablehighrhtmltoolshttrigraphisobandjsonliteKernSmoothknitrlabelinglatticelifecyclemagrittrMASSMatrixmgcvmimemomentsmonitoRNatureSoundsnlmeopensslpbapplypillarpkgbuildpkgconfigpkgloadpraiseprocessxproxypsR6RColorBrewerRcppRCurlrjsonrlangrprojroots2scalesseewavesfsignalstringistringrsystestthattibbletuneRunitsutf8vctrsviridisLitewaldowarbleRwithrwkxfunyaml

Optimizing sound event detection

Marcelo Araya-Salas, PhD

Rendered fromintro_to_ohun.Rmdusingknitr::rmarkdownon Jun 28 2025.

Last update: 2023-11-13
Started: 2023-06-09

Template-based detection

Marcelo Araya-Salas, PhD

Rendered fromtemplate_based_detection.Rmdusingknitr::rmarkdownon Jun 28 2025.

Last update: 2023-11-13
Started: 2023-06-05

Energy-based detection

Marcelo Araya-Salas, PhD

Rendered fromenergy_based_detection.Rmdusingknitr::rmarkdownon Jun 28 2025.

Last update: 2024-10-21
Started: 2023-06-05