Autors: Pelzers, K., Mladenov, V. M.
Title: Animal call segregation using self organizing map with speeded up robust features
Keywords: Spectrogram , Feature extraction , Robustness , Time-frequen

Abstract: Animal counting is often employed to estimate the population size and species diversity in a given area. This work makes a start at the unsupervised segregation of audio clips with a Self Organizing Map (SOM), using Speeded Up Robust Features (SURF) applied to audio spectrograms as inputs. Further work is required for a functional algorithm.

References

    Issue

    13th IEEE Symposium on Neural Networks and Applications (NEUREL), pp. 1-5, 2016, Serbia, doi:10.1109/NEUREL.2016.7800139

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus