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 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 178 downloads 21 exports 86 dependencies

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

TargetResultTotal timeArtifact
linux-devel-x86_64OK178
pkgdown docsOK349
source / vignettesOK306
linux-release-x86_64OK207
macos-release-arm64FAIL87
macos-oldrel-arm64FAIL95
windows-develFAIL64
windows-releaseFAIL60
windows-oldrelFAIL62
wasm-releaseOK188

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:askpassbackportsbase64encbioacousticsbitopsbriocallrcheckmateclassclassIntclicpp11crayoncurlDBIdescdiffobjdigestdtwe1071evaluatefarverfastmapfftwfsggplot2gluegtablehighrhtmltoolshttrigraphisobandjsonliteKernSmoothknitrlabelinglatticelifecyclemagrittrMASSMatrixmgcvmimemomentsmonitoRNatureSoundsnlmeopensslpbapplypillarpkgbuildpkgconfigpkgloadpraiseprocessxproxypsR6RColorBrewerRcppRCurlrjsonrlangrprojroots2scalesseewavesfsignalstringistringrsystestthattibbletuneRunitsutf8vctrsviridisLitewaldowarbleRwithrwkxfunyaml

Optimizing sound event detection

Marcelo Araya-Salas, PhD

Rendered fromintro_to_ohun.Rmdusingknitr::rmarkdownon Aug 29 2025.

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

Template-based detection

Marcelo Araya-Salas, PhD

Rendered fromtemplate_based_detection.Rmdusingknitr::rmarkdownon Aug 29 2025.

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

Energy-based detection

Marcelo Araya-Salas, PhD

Rendered fromenergy_based_detection.Rmdusingknitr::rmarkdownon Aug 29 2025.

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