Package: ohun 1.0.4

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://marce10.r-universe.dev', 'https://cloud.r-project.org'))

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

7.04 score 18 stars 1 packages 45 scripts 317 downloads 21 exports 79 dependencies

Last updated from:98d3c46aba. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK191
source / vignettesOK281
linux-release-x86_64OK214
macos-release-arm64OK106
macos-oldrel-arm64OK232
windows-develOK200
windows-releaseOK166
windows-oldrelOK138
wasm-releaseOK146

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:askpassbackportsbase64encbioacousticsbriocallrcheckmateclassclassIntclicpp11crayoncurlDBIdescdiffobjdigestdtwe1071evaluatefarverfastmapfftwfsggplot2gluegtablehighrhtmltoolshttrigraphisobandjsonliteKernSmoothknitrlabelinglatticelifecyclemagrittrMASSMatrixmimemomentsmonitoRNatureSoundsopensslpbapplypkgbuildpkgconfigpkgloadpraiseprocessxproxypsR6RColorBrewerRcpprlangrprojroots2S7scalesseewavesfsignalstringistringrsystestthattuneRunitsvctrsviridisLitewaldowarbleRwithrwkxfunyaml

Optimizing sound event detection

Marcelo Araya-Salas, PhD

Rendered fromintro_to_ohun.Rmdusingknitr::rmarkdownon May 21 2026.

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

Template-based detection

Marcelo Araya-Salas, PhD

Rendered fromtemplate_based_detection.Rmdusingknitr::rmarkdownon May 21 2026.

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

Energy-based detection

Marcelo Araya-Salas, PhD

Rendered fromenergy_based_detection.Rmdusingknitr::rmarkdownon May 21 2026.

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