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dynaSpec: dynamic spectrograms in R Editing wave objects from extended selection tables Automatic signal detection: a case study Interactive maps from Xeno-Canto recording localities in xc_maps() Signal detection with cross-correlation using warbleR Compare signals from selection tables to a set of templates using cross-correlation Spectrograms on trees Extended selection tables Simulating animal vocalizations Individual sound files for each selection Acoustic space scatter plot Creating song catalogs Choosing the right method for measuring acoustic signal structure Signal detection with cross-correlation using monitoR Creating dynamic spectrograms (videos) Download a single recording for each species in a country from Xeno-Canto Evaluating group acoustic signatures using cross-correlation Fixing selections manually Frequency range detection from spectrum Pdf files with spectrograms of full recordings Potential issues of the 'spectral parameters/PCA' approach Rraven: Connecting R and Raven Sound Analysis Software Song similarity using dynamic time warping Updates on catalog function Using your own frequency contours on DTW Working with higher structural levels in vocal signals

Compare signals from selection tables to a set of templates using cross-correlation Choosing the right method for measuring acoustic signal structure Creating dynamic spectrograms (videos) Evaluating group acoustic signatures using cross-correlation Frequency range detection from spectrum Song similarity using dynamic time warping Using your own frequency contours on DTW Working with higher structural levels in vocal signals

dynaSpec: dynamic spectrograms in R Interactive maps from Xeno-Canto recording localities in xc_maps() Spectrograms on trees Acoustic space scatter plot Creating song catalogs Creating dynamic spectrograms (videos) Pdf files with spectrograms of full recordings Updates on catalog function

Editing wave objects from extended selection tables Extended selection tables Individual sound files for each selection Fixing selections manually Frequency range detection from spectrum Rraven: Connecting R and Raven Sound Analysis Software

Signal detection with cross-correlation using warbleR Compare signals from selection tables to a set of templates using cross-correlation Choosing the right method for measuring acoustic signal structure

Automatic signal detection: a case study Signal detection with cross-correlation using warbleR Signal detection with cross-correlation using monitoR

Potential issues of the 'spectral parameters/PCA' approach Song similarity using dynamic time warping

Interactive maps from Xeno-Canto recording localities in xc_maps() Download a single recording for each species in a country from Xeno-Canto