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An Exploration of Acoustic and Temporal Features for the Multiclass Classification of Bird Species

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Proceedings of International Conference on Machine Intelligence and Data Science Applications

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

In this study, combination of acoustic and temporal features has been used for multiclass classification of bird species, since it become an immense requirement for eco environmental sounds in the wildlife. Dataset used is ‘British Bird Song Dataset’ consists of 43 species and 103 samples. Acoustic (Minimum/maximum pitch, intensity and first, second, third and fourth formants and bandwidths, and average of pulse) and temporal features (Mel-frequency cepstral coefficient) have been analyzed. The dimension reduction technique has been used to significantly reduce the dimensionality issue. Three classifiers are used in this study and they are support vector machine, nearest neighbor, and decision tree. The extracted results of classification accuracy are in the range 32–68%. Support vector machine has produced promising results in the range 64–68%.

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Authors and Affiliations

  1. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India

    Sugandha Gupta & Nilima Salankar

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  1. Sugandha Gupta
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  2. Nilima Salankar
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Corresponding author

Correspondence to Nilima Salankar .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India

    Manish Prateek

  2. Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India

    T. P. Singh

  3. Department of Informatics, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India

    Tanupriya Choudhury

  4. Edge Hill University, Ormskirk, UK

    Hari Mohan Pandey

  5. Duy Tan University, Da Nang, Vietnam

    Nguyen Gia Nhu

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Gupta, S., Salankar, N. (2021). An Exploration of Acoustic and Temporal Features for the Multiclass Classification of Bird Species. In: Prateek, M., Singh, T.P., Choudhury, T., Pandey, H.M., Gia Nhu, N. (eds) Proceedings of International Conference on Machine Intelligence and Data Science Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-4087-9_56

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