Dictionary extraction from a collection of spectrograms for bioacoustics monitoring

Abstract

Dictionary learning of spectrograms consists of detecting their fundamental spectra-temporal patterns and their associated activation signals. In this paper, we propose an efficient convolutive dictionary learning approach for analyzing repetitive bioacoustics patterns from a collection of audio recordings. Our method is inspired by the convolutive non… (More)
DOI: 10.1109/MLSP.2015.7324357

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Cite this paper

@article{RuizMuoz2015DictionaryEF, title={Dictionary extraction from a collection of spectrograms for bioacoustics monitoring}, author={Jos{\'e} Francisco Ruiz-Mu{\~n}oz and Zeyu You and Raviv Raich and Xiaoli Z. Fern}, journal={2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)}, year={2015}, pages={1-6} }