Forest Elephant Rumbles Detection

Forest Elephant Rumbles Detection

An audio analysis system designed to process recordings from African forests, specifically focusing on detecting elephant rumbles. The machine learning pipeline efficiently analyzes audio files to identify and classify these distinct vocalizations, contributing to wildlife monitoring and conservation efforts.
🧑🏾‍🏫 Manual 📖
  1. Audio Selection: Choose an audio file containing elephant rumbles from the examples provided below, or upload your own audio data.
  2. Run the ML model: Click the 'Submit' button to initiate the machine learning model.
  3. Visualize the results: The system will generate spectrograms in the infrasound range and detect the elephant rumbles using the ML model.
  4. Export the data: A CSV file will be created, containing a comprehensive analysis of the audio file, including the localization of the detected elephant rumbles.
  • 🛠️ Learn more about the project here.
  • The code is available here.
  • 🤗 The application is hosted here.