Package: ohun 1.0.3

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_1.0.3.tar.gz
ohun_1.0.3.zip(r-4.6)ohun_1.0.3.zip(r-4.5)ohun_1.0.3.zip(r-4.4)
ohun_1.0.3.tgz(r-4.5-any)ohun_1.0.3.tgz(r-4.4-any)
ohun_1.0.3.tar.gz(r-4.6-any)ohun_1.0.3.tar.gz(r-4.5-any)
ohun_1.0.3.tgz(r-4.5-emscripten)
ohun.pdf |ohun.html✨
ohun/json (API)
NEWS

# Install 'ohun' in R:
install.packages('ohun', repos = c('https://packages.ropensci.org', '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:
  • 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

6.96 score 17 stars 1 packages 30 scripts 57 downloads 21 exports 82 dependencies

Last updated from:fb6d6aab12 (on master). Checks:5 OK, 5 FAIL. Indexed: yes.

TargetResultTotal timeArtifact
linux-devel-x86_64OK184
pkgdown docsOK394
source / vignettesOK302
linux-release-x86_64OK218
macos-release-arm64FAIL107
macos-oldrel-arm64FAIL112
windows-develFAIL81
windows-releaseFAIL60
windows-oldrelFAIL77
wasm-releaseOK179

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 Sep 28 2025.

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

Template-based detection

Marcelo Araya-Salas, PhD

Rendered fromtemplate_based_detection.Rmdusingknitr::rmarkdownon Sep 28 2025.

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

Energy-based detection

Marcelo Araya-Salas, PhD

Rendered fromenergy_based_detection.Rmdusingknitr::rmarkdownon Sep 28 2025.

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