Automatic sound event detection | Signal detection theory applied to bioacoustics | Improving detection speed | Additional tips | References

Automatic sound event detection | Signal detection theory applied to bioacoustics | Improving detection speed | Additional tips | References

Glossary | Synthesize sounds | Create master sound file for playback | Align re-recorded sounds | Manually fixing alignment | Further aligning | References

Required data structure | Setting reference sounds | Measuring degradation | Data format | Visual inspection | Blur ratio | Spectrum blur ratio | Excess attenuation | Envelope correlation | Spectrum correlation | Signal-to-noise ratio | Tail-to-signal ratio | Spectrogram correlation | Other measurements | Noise profiles | References

Glossary | Synthesize sounds | Create master sound file for playback | Align re-recorded sounds | Manually fixing alignment | Further aligning | References

Required data structure | Setting reference sounds | Measuring degradation | Data format | Visual inspection | Blur ratio | Spectrum blur ratio | Excess attenuation | Envelope correlation | Spectrum correlation | Signal-to-noise ratio | Tail-to-signal ratio | Spectrogram correlation | Other measurements | Noise profiles | References

Input acoustic data in warbleR | warbleR functions and the workflow of analysis in bioacoustics | Get and prepare recordings | Annotating sound | Organize annotations | Measure acoustic signal structure | Verify annotations | Visual inspection of annotations and measurements | Additional functions | References

Bioacoustics in R with warbleR | Package repositories | Parallel processing in warbleR | Vignette introduction | Prepare for analyses | Extract acoustic parameters as time series | Detect frequency range | Extract spectral entropy as a time series | Visualizing frequency contours with track_freq_contour | Extract fundamental or dominant frequency contours as a time series | Manually tailor frequency contours with tailor_sels | Count inflections across frequency contours | Compare methods for quantitative analysis of signal structure | Measure acoustic parameters with spectro_analysis | Calculate acoustic parameters by song type | Dynamic time warping of frequency contours | Spectrographic cross-correlation | Analysis of geographic variation using spectro_analysis measurements | Coordinated singing analysis | Simulating songs | Citation | Reporting bugs

Data frames | warbleR annotation formats | Selection tables | Extended selection tables | Handling extended selection tables | 'By element' vs 'by song' extended selection tables | Performance | Sharing acoustic data | Citation | Reporting bugs | References

Optimizing template-based detection | Detecting several templates | References

How it works | Optimizing energy-based detection | References

Optimizing template-based detection | Detecting several templates | References

How it works | Optimizing energy-based detection | References

Installation | Basic workflow for obtaining nature media files | Obtaining metadata: the query functions | query_macaulay() | Interactive retrieval of metadata | Bypassing record limit | query_wikiaves() | query_xenocanto() | API key | Special queries | Update metadata | Combine metadata from multiple repositories | Find and remove duplicated records | Download media files | Session information

Installation | Basic workflow for obtaining nature media files | Obtaining metadata: the query functions | query_macaulay() | Interactive retrieval of metadata | Bypassing record limit | query_wikiaves() | query_xenocanto() | API key | Special queries | Update metadata | Combine metadata from multiple repositories | Find and remove duplicated records | Download media files | Session information

Importing data from Raven | imp_raven | extract_ts | relabel_colms | imp_corr_mat | Exporting R data to Raven | exp_raven | Running Raven from R | run_raven | raven_batch_detec