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Zhang, C., Jin, N., Xie, J. and Hao, Z. (2024) CicadaNet: Deep Learning Based Automatic Cicada Chorus Filtering for Improved Long-Term Bird Monitoring. Ecological Indicators, 158, Article 111423.
https://doi.org/10.1016/j.ecolind.2023.111423

has been cited by the following article:

• TITLE: Feature Identification in a Cicada Song

  AUTHORS: Giancarlo Tiziano Tomezzoli

  KEYWORDS: Cicada, Song, Samples, Galaxy S20, Audacity

  JOURNAL NAME: Journal of Sensor Technology, Vol.16 No.3, September 18, 2026

  ABSTRACT: My encounter with the song of a single cicada hidden in an ornamental cherry tree motivated me to study the cicada’s song. In this article, the state of knowledge about cicadas is reviewed, and the cicada song is analyzed. The article is based on the Voix 033 - Voix 040 raw cicada song samples acquired by means of the application Enregistreur Vocal installed on a Galaxy S20 FE 5G phone. The sample analysis has been performed by means of the program Audacity 3.7.8. The waveform diagrams, the spectrograms, and the Fourier analysis of the samples are presented and commented on. The Audacity instructions used in the analysis are included in the article. The recorded raw cicada song samples Voix 033 - Voix 040 are available on request.