Cicada Species Recognition Based on Acoustic Signals

Cicada Species Recognition Based on Acoustic Signals

Traditional methods used to identify and monitor insect species are time-consuming, costly, and fully dependent on the observer’s ability. This paper presents a deep learning-based cicada species recognition system using acoustic signals to classify the cicada species. The sound recordings of cicada...

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Bibliographic Details
Main Authors: Wan Teng Tey, Tee Connie, Kan Yeep Choo, Michael Kah Ong Goh
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Algorithms
Subjects:
cicada species recognition
acoustic signal
deep learning
spectrogram
Härmä syllable segmentation
Online Access:https://www.mdpi.com/1999-4893/15/10/358

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