Package index • ohun

Prepare data for detection

Prepare annotations and acoustic data for automated detection

split_acoustic_data(): Splits sound files and associated annotations
get_envelopes(): Extract absolute amplitude envelopes
get_templates(): Find templates representative of the structural variation of sound events
summarize_reference(): Summarize temporal and frequency dimensions of annotations and gaps
summarize_acoustic_data(): Summarize information about file format in an acoustic data set

Automated detection

Functions implementing automated sound event detection

energy_detector(): Detects the start and end of sound events
optimize_energy_detector(): Optimize energy-based sound event detection
template_correlator(): Acoustic templates correlator using time-frequency cross-correlation
template_detector(): Acoustic template detection from time-frequency cross-correlations
optimize_template_detector(): Optimize acoustic template detection

Curating detection datasets

Exploration and manipulation of the output of detection functions

consensus_detection(): Remove ambiguous detections
merge_overlaps(): Merge overlapping selections
summarize_diagnostic(): Summarize detection diagnostics
label_detection(): Label detections from a sound event detection procedure
diagnose_detection(): Evaluate the performance of a sound event detection procedure
reassemble_detection(): Reassemble detections from clips

Built in datasets

Datasets included in baRulho

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

Additional functions

label_spectro(): Plot a labeled spectrogram
plot_detection(): Plot detection and reference annotations