| 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 |