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-4.7-any)ohun_1.0.4.tar.gz(r-4.6-any)
ohun_1.0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:
  • 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

7.14 score 18 stars 1 packages 57 scripts 347 downloads 21 exports 83 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK204
pkgdown docsOK344
source / vignettesOK270
linux-release-x86_64OK204
macos-release-arm64OK161
macos-oldrel-arm64OK119
windows-develOK135
windows-releaseOK121
windows-oldrelOK123
wasm-releaseOK135

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:askpassbackportsbase64encbioacousticsbitopsbriocallrcheckmateclassclassIntclicpp11crayoncurlDBIdescdiffobjdigestdtwe1071evaluatefarverfastmapfftwfsggplot2gluegtablehighrhtmltoolshttrigraphisobandjsonliteKernSmoothknitrlabelinglatticelifecyclemagrittrMASSMatrixmimemomentsmonitoRNatureSoundsopensslotelpbapplypkgbuildpkgconfigpkgloadpraiseprocessxproxypsR6RColorBrewerRcppRCurlrjsonrlangrprojroots2S7scalesseewavesfsignalstringistringrsystestthattuneRunitsvctrsviridisLitewaldowarbleRwithrwkxfunyaml

Optimizing sound event detection

Marcelo Araya-Salas, PhD

Rendered fromintro_to_ohun.Rmdusingknitr::rmarkdownon Jun 14 2026.

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

Template-based detection

Marcelo Araya-Salas, PhD

Rendered fromtemplate_based_detection.Rmdusingknitr::rmarkdownon Jun 14 2026.

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

Energy-based detection

Marcelo Araya-Salas, PhD

Rendered fromenergy_based_detection.Rmdusingknitr::rmarkdownon Jun 14 2026.

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