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Classification of birdsong recordings can be naturally formulated as a multiple instance problem, where bags of instances are represented by either features or dissimilarities. In bioacoustics, bags typically correspond to regions of interest in spectrograms, which are detected after a segmentation stage of the audio recordings. In this paper, we use different dissimilarity measures between bags and...
The wealth of biodiversity is difficult to estimate because field inspections are exhausting and expensive. However, automatic monitoring systems can be a feasible option to partially overcome such a drawback. In this study, we present a process of bioacoustic recognition based on digital signal processing and pattern recognition techniques. On top of representations extracted from waveforms and spectra...
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