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Acoustic Identification of Nocturnal Bird Species

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Advances in Signal Processing and Intelligent Recognition Systems (SIRS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1209))

Abstract

Automatic classification of bird species based on their vocalizations is a topic of crucial relevance for the research conducted by biologists, ornithologists, ecologists, and related disciplines. This work in concentrated on nocturnal species; even though the analysis of their population trends is a key indicator, there is a gap in the literature addressing their audio-based identification. After compiling a suitable dataset including six nocturnal bird species, this study employs both supervised (k-Nearest Neighbors, Support Vector Machines) and unsupervised (k-means) methods operating in the feature space formed by Mel-spectrograms. We conclude that automatic classification based on k-Nearest Neighbour and Support Vector Machines provide almost excellent results with a recognition rate in the order of 90%.

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Notes

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    Xeno Canto, https://www.xeno-canto.org/about/xeno-canto.

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Authors and Affiliations

  1. Department of Computer Science, University of Milan, Via Celoria 18, 20133, Milan, Italy

    Michelangelo Acconcjaioco & Stavros Ntalampiras

Authors
  1. Michelangelo Acconcjaioco
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  2. Stavros Ntalampiras
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Corresponding author

Correspondence to Stavros Ntalampiras .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology, Trivandrum, India

    Sabu M. Thampi

  2. Indian Institute of Technology Kanpur, Kanpur, India

    Rajesh M. Hegde

  3. Ryerson University, Toronto, ON, Canada

    Sri Krishnan

  4. Indian Institute of Technology Kharagpur, Kharagpur, India

    Jayanta Mukhopadhyay

  5. State University of New York at Buffalo, Buffalo, NY, USA

    Vipin Chaudhary

  6. Florida Atlantic University, Boca Raton, FL, USA

    Oge Marques

  7. University of Florida, Gainesville, FL, USA

    Selwyn Piramuthu

  8. University of Salamanca, Salamanca, Spain

    Juan M. Corchado

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Acconcjaioco, M., Ntalampiras, S. (2020). Acoustic Identification of Nocturnal Bird Species. In: Thampi, S., et al. Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2019. Communications in Computer and Information Science, vol 1209. Springer, Singapore. https://doi.org/10.1007/978-981-15-4828-4_1

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  • DOI: https://doi.org/10.1007/978-981-15-4828-4_1

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  • Print ISBN: 978-981-15-4827-7

  • Online ISBN: 978-981-15-4828-4

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