R: Optimizing Acoustic Signal Detection

# Optimizing Acoustic Signal Detection

## Documentation for package ‘ohun’ version 1.0.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

consensus_detection | Remove ambiguous detections
diagnose_detection | Evaluate the performance of a sound event detection procedure
energy_detector | Detects the start and end of sound events
get_envelopes | Extract absolute amplitude envelopes
get_templates | Find templates representative of the structural variation of sound events
label_detection | Label detections from a sound event detection procedure
label_spectro | Plot a labeled spectrogram
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
merge_overlaps | Merge overlapping selections
optimize_energy_detector | Optimize energy-based sound event detection
optimize_template_detector | Optimize acoustic template detection
plot_detection | Plot detection and reference annotations
reassemble_detection | Reassemble detections from clips
split_acoustic_data | Splits sound files and associated annotations
summarize_acoustic_data | Summarize information about file format in an acoustic data set
summarize_diagnostic | Summarize detection diagnostics
summarize_reference | Summarize temporal and frequency dimensions of annotations and gaps
template_correlator | Acoustic templates correlator using time-frequency cross-correlation
template_detector | Acoustic template detection from time-frequency cross-correlations