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A scalable unsupervised deep learning approach extracts behavioural and demographic insights from forest elephant vocalisations The analysis in this paper can be partially recreated by running the two notebooks saved within the main repo. 'call_types_notebook.ipynb' - performs the call-type analysis for question 1. 'rumble_subtypes_behaviour_notebook.ipynb' - performs the rumble subtype analysis (question 2) and the behavioural and demographic analysis for question 3. The notebooks load the audio files stored with 'audio_dir', the annotations for these audio files stored in 'data' and the python scripts in 'elephant scripts'. 7 sample audio files have been uploaded for demonstration purposes.
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Code used in 'A scalable unsupervised deep learning approach extracts behavioural and demographic insights from forest elephant vocalisations'
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