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✨
DESCRIPTION |NEWS
card.svg |card.png
ohun/json (API)

# 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

7.15 score 18 stars 1 packages 58 scripts 351 downloads 21 exports 80 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK196
source / vignettesOK268
linux-release-x86_64OK180
macos-release-arm64OK98
macos-oldrel-arm64OK112
windows-develOK135
windows-releaseOK136
windows-oldrelOK142
wasm-releaseOK134

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:askpassbackportsbase64encbioacousticsbriocallrcheckmateclassclassIntclicpp11crayoncurlDBIdescdiffobjdigestdtwe1071evaluatefarverfastmapfftwfsggplot2gluegtablehighrhtmltoolshttrigraphisobandjsonliteKernSmoothknitrlabelinglatticelifecyclemagrittrMASSMatrixmimemomentsmonitoRNatureSoundsopensslotelpbapplypkgbuildpkgconfigpkgloadpraiseprocessxproxypsR6RColorBrewerRcpprlangrprojroots2S7scalesseewavesfsignalstringistringrsystestthattuneRunitsvctrsviridisLitewaldowarbleRwithrwkxfunyaml

Optimizing sound event detection
Automatic sound event detection | Signal detection theory applied to bioacoustics | Improving detection speed | Additional tips | References
Rendered fromintro_to_ohun.Rmdusingknitr::rmarkdown

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

Template-based detection
Optimizing template-based detection | Detecting several templates | References
Rendered fromtemplate_based_detection.Rmdusingknitr::rmarkdown

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

Energy-based detection
How it works | Optimizing energy-based detection | References
Rendered fromenergy_based_detection.Rmdusingknitr::rmarkdown

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