TUTCRIS - Tampereen teknillinen yliopisto

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Turning wingbeat sounds into spectrum images for acoustic insect classification

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut1674-1676
Sivumäärä3
JulkaisuElectronics Letters
Vuosikerta53
Numero25
DOI - pysyväislinkit
TilaJulkaistu - 2017
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Tiivistelmä

A novel acoustic insect classifier on deep convolutional feature of frequency spectrum images generated by their wingbeat sounds is introduced. By visualising insect wingbeat sound, the proposed method is the first attempt to convert time-series acoustic signal processing to image recognition, which has recently gained significant improvement with convolutional neural networks. Experiments show the better accuracy of the proposed method on the public UCR flying insect datasets compared with the state-of-the-art methods.

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