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Decoding Asian Elephant Vocalisations: Unravelling Call Types, Context-Specific Behaviors, and Individual Identities

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Speech and Computer (SPECOM 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14339))

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Abstract

This paper investigates the automatic classification of four types of Asian elephant vocalizations (rumble, roar, trumpet, and chirp) recorded in Kaziranga National Park. Apart from the call type classification, the study explores individual identification and contextual analysis. Various classifiers using openSMILE features are developed to facilitate the classification process. The results demonstrate accurate classification of elephant call types and successful classification of context-specific behavior and individual identity based on trumpet and chirp calls, respectively. This study highlights the potential of acoustic analysis for understanding elephant communication and well-being, offering insights into their context-specific behavior and individual identities.

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Acknowledgements

The first author extends sincere appreciation to the Assam Forest Department for graciously granting permission to gather the essential data required for this study. Their invaluable cooperation and consent have made it possible to conduct this research. Additionally, we would like to express heartfelt gratitude to the dedicated forest guards and diligent mahouts who wholeheartedly supported and actively participated in the fieldwork.

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Authors and Affiliations

  1. Indian Institute of Technology Guwahati, Guwahati, India

    Seema Lokhandwala & Rohit Sinha

  2. Reliance Jio AICoE, Hyderabad, India

    Sreeram Ganji & Balakrishna Pailla

Authors
  1. Seema Lokhandwala
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  2. Rohit Sinha
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  3. Sreeram Ganji
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  4. Balakrishna Pailla
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Corresponding author

Correspondence to Seema Lokhandwala .

Editor information

Editors and Affiliations

  1. St. Petersburg Federal Research Center of the Russian Academy of Sciences, St. Petersburg, Russia

    Alexey Karpov

  2. Koneru Lakshmaiah Education Foundation, Vaddeswaram, India

    K. Samudravijaya

  3. Indian Institute of Information Technology Dharwad, Dharwad, India

    K. T. Deepak

  4. Indian Institute of Technology Dharwad, Dharwad, India

    Rajesh M. Hegde

  5. KIIT Group of Colleges, Gurugram, India

    Shyam S. Agrawal

  6. Indian Institute of Technology Dharwad, Dharwad, India

    S. R. Mahadeva Prasanna

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Lokhandwala, S., Sinha, R., Ganji, S., Pailla, B. (2023). Decoding Asian Elephant Vocalisations: Unravelling Call Types, Context-Specific Behaviors, and Individual Identities. In: Karpov, A., Samudravijaya, K., Deepak, K.T., Hegde, R.M., Agrawal, S.S., Prasanna, S.R.M. (eds) Speech and Computer. SPECOM 2023. Lecture Notes in Computer Science(), vol 14339. Springer, Cham. https://doi.org/10.1007/978-3-031-48312-7_30

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  • DOI: https://doi.org/10.1007/978-3-031-48312-7_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48311-0

  • Online ISBN: 978-3-031-48312-7

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