Comparison and Automatic Detection
Cross-correlation of amplitude envelopes, frequency spectra, and spectrograms are evoked together with the computation of the frequency coherence as solutions to compare two sounds. The dynamic time warping technique, that seeks for the best alignments of time series of unequal length, is also covered. A recipe is provided to run a supervised binary automatic identification over a series of recordings, that to seek automatically for a sound of interest in a large audio dataset.
- Katz J, Hafner SD, Donovan T (2016b) Tools for automated acoustic monitoring within the R package monitor. Bioacoustics 25:191–210Google Scholar