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ANALYSIS OF SPERM WHALE COMMUNICATION: A REVIEW PAPER

  • Unique Paper ID: 174636
  • Volume: 11
  • Issue: 11
  • PageNo: 205-208
  • Abstract:
  • Sperm Whales (Physeter macrocephalus) are extremely social marine that communicate using codas – discrete order of broadband clicks.[5] They generate a complicated vocal system that remains largely unexplored. Long – established methods of examine whale vocalizations have need of extensive manual transcription, place a limit on progress. Although, the latest advancements in Artificial Intelligence, Machine Learning have recognize this field by authorize automated detection, classification, and interpretation of whale sounds.[2,4] This review integrates key Artificial Intelligence – driven techniques, which includes Deep Learning, Natural Language Processing, Graph – based Clustering, and Spectral Analysis, to decrypt whale communication patterns.[2,4] In addition, it inspect the prospective combinatorial nature of sperm whale vocalizations, their contextual variations, and their analogous with human language configuration.[5] The study further highlights the ethical implications of Artificial Intelligence – driven whale communication research, confirm that similar technologies remain unintrusive and preservation – focused. This study contributes to Project CETI (Cetacean Translation Initiative) By recognizing existing gap and propose future research directions, this review be conductive to the comprehensive goal of deciphering sperm whale communication, facilitate Artificial Intelligence applications in bioacoustics,[2] and contribute to marine conservation efforts. [3,8]
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 205-208

ANALYSIS OF SPERM WHALE COMMUNICATION: A REVIEW PAPER

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