Package: ohun 1.0.2

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_1.0.2.tar.gz
ohun_1.0.2.zip(r-4.5)ohun_1.0.2.zip(r-4.4)ohun_1.0.2.zip(r-4.3)
ohun_1.0.2.tgz(r-4.4-any)ohun_1.0.2.tgz(r-4.3-any)
ohun_1.0.2.tar.gz(r-4.5-noble)ohun_1.0.2.tar.gz(r-4.4-noble)
ohun_1.0.2.tgz(r-4.4-emscripten)ohun_1.0.2.tgz(r-4.3-emscripten)
ohun.pdf |ohun.html✨
ohun/json (API)
NEWS

# Install 'ohun' in R:
install.packages('ohun', repos = c('https://ropensci.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ropensci/ohun/issues

Pkgdown: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:

audio-processingbioacousticssound-event-detectionspectrogramstreamline-analysis

6.88 score 14 stars 1 packages 24 scripts 260 downloads 20 exports 89 dependencies

Last updated 2 months agofrom:2be88b518b (on master). Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 21 2024
R-4.5-winOKDec 21 2024
R-4.5-linuxOKDec 21 2024
R-4.4-winOKDec 21 2024
R-4.4-macOKDec 21 2024
R-4.3-winOKDec 21 2024
R-4.3-macOKDec 21 2024

Exports:consensus_detectiondiagnose_detectionenergy_detectorfeature_acoustic_datafeature_referencefilter_detectionget_envelopesget_templateslabel_detectionlabel_spectromerge_overlapsoptimize_energy_detectoroptimize_template_detectorplot_detectionsplit_acoustic_datasummarize_acoustic_datasummarize_diagnosticsummarize_referencetemplate_correlatortemplate_detector

Dependencies:askpassbackportsbase64encbioacousticsbitopsbriocallrcheckmateclassclassIntclicolorspacecpp11crayoncurlDBIdescdiffobjdigestdtwe1071evaluatefansifarverfastmapfftwfsggplot2gluegtablehighrhtmltoolshttrigraphisobandjsonliteKernSmoothknitrlabelinglatticelifecyclemagrittrMASSMatrixmgcvmimemomentsmonitoRmunsellNatureSoundsnlmeopensslpbapplypillarpkgbuildpkgconfigpkgloadpraiseprocessxproxypsR6RColorBrewerRcppRCurlrjsonrlangrprojroots2scalesseewavesfsignalstringistringrsystestthattibbletuneRunitsutf8vctrsviridisLitewaldowarbleRwithrwkxfunyaml

Optimizing sound event detection

Marcelo Araya-Salas, PhD

Rendered fromintro_to_ohun.Rmdusingknitr::rmarkdownon Dec 21 2024.

Last update: 2023-11-13
Started: 2023-06-09

Template-based detection

Marcelo Araya-Salas, PhD

Rendered fromtemplate_based_detection.Rmdusingknitr::rmarkdownon Dec 21 2024.

Last update: 2023-11-13
Started: 2023-06-05

Energy-based detection

Marcelo Araya-Salas, PhD

Rendered fromenergy_based_detection.Rmdusingknitr::rmarkdownon Dec 21 2024.

Last update: 2024-10-21
Started: 2023-06-05