Optimizing Acoustic Signal Detection


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Documentation for package ‘ohun’ version 0.1.0

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diagnose_detection Evaluate the performance of a sound event detection procedure
energy_detector Detects the start and end of sound events
feature_acoustic_data Summarize information about file format in an acoustic data set
feature_reference Extract quantitative features of references
filter_detection Remove ambiguous detections
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
ohun ohun: Optimizing sound event detection
optimize_energy_detector Optimize energy-based sound event detection
optimize_template_detector Optimize acoustic template detection
split_acoustic_data Splits sound files
summarize_diagnostic Summarize detection diagnostics
template_correlator Acoustic templates correlator using time-frequency cross-correlation
template_detector Acoustic template detection from time-frequency cross-correlations