Package: ohun 1.0.5

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_1.0.5.tar.gz
ohun_1.0.5.zip(r-4.7-any)ohun_1.0.5.zip(r-4.6-any)ohun_1.0.5.zip(r-4.5-any)
ohun_1.0.5.tgz(r-4.6-any)ohun_1.0.5.tgz(r-4.5-any)
ohun_1.0.5.tar.gz(r-4.7-any)ohun_1.0.5.tar.gz(r-4.6-any)
ohun_1.0.5.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

7.31 score 19 stars 1 packages 60 scripts 418 downloads 21 exports 66 dependencies

Last updated from:0321d0888d. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK163
source / vignettesOK261
linux-releaseOK201
macos-releaseOK168
macos-oldrelOK128
windows-develOK148
windows-releaseOK132
windows-oldrelOK130
wasm-releaseOK128

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:askpassbackportsbase64encbioacousticscheckmateclassclassIntclicpp11curlDBIdigestdtwe1071evaluatefarverfastmapfftwggplot2gluegtablehighrhtmltoolshttrigraphisobandjsonliteKernSmoothknitrlabelinglatticelifecyclemagrittrMASSMatrixmimemomentsmonitoRNatureSoundsopensslpbapplypkgconfigproxyR6RColorBrewerRcpprlangRravens2S7scalesseewavesfsignalstringistringrsystuneRunitsvctrsviridisLitewarbleRwithrwkxfunyaml

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: 2026-10-13
Started: 2023-06-09

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

Last update: 2026-10-02
Started: 2023-06-05

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

Last update: 2026-10-02
Started: 2023-06-05