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Unsupervised Bioacoustic Segmentation by Hierarchical Dirichlet Process Hidden Markov Model.

Multimedia Systems and Applications, pp.113-130, (2018)

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Abstract

Bioacoustics is powerful for monitoring biodiversity. We investigate in this paper automatic segmentation model for real-world bioacoustic scenes in order to infer hidden states referred as song units. Nevertheless, the number of these acoustic units is often unknown, unlike in human speech recognition. Hence, we propose a bioacoustic seg...More

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