Quantifying (Animal) Sound Degradation
Add synthetic noise
Align test sound files
Estimate attenuation of sound pressure level
Fix small misalignments in the time position test sounds
baRulho: quantifying acoustic signal degradation
Measure blur ratio in the time domain
Measure detection distance of sound
Measure amplitude envelope correlation
Measure excess attenuation
Find acoustic markers on test sound files
Plot spectrograms to check test sound files alignment
Create a master sound file
Measure full spectrum sound noise profiles
Plot spectrograms to check test sound files alignment
Plot blur ratio
Save multipanel plots with reference and test sounds
Set reference for test sounds
Measure attenuation as signal-to-noise ratio
Measure spectrographic cross-correlation as a measure of sound distort...
Measure blur ratio in the frequency domain
Measure frequency spectrum correlation
Create synthetic sounds
Measure reverberations as tail-to-signal ratio
Intended to facilitate acoustic analysis of (animal) sound transmission experiments, which typically aim to quantify changes in signal structure when transmitted in a given habitat by broadcasting and re-recording animal sounds at increasing distances. The package offers a workflow with functions to prepare the data set for analysis as well as to calculate and visualize several degradation metrics, including blur ratio, signal-to-noise ratio, excess attenuation and envelope correlation among others (Dabelsteen et al 1993 <doi:10.1121/1.406682>).
Useful links