🐋 Whale Call Detection and Analysis

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📖 Overview

Whale Call Detection and Analysis is a project focused on identifying whale calls from underwater acoustic recordings.
The goal is to detect, classify, and analyze whale vocalizations to support marine research and environmental monitoring.
The project demonstrates how signal processing and machine learning techniques can be used for bioacoustic sound detection.

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🎯 Objectives

• Detect whale call segments from ocean acoustic data.
• Analyze frequency, duration, and amplitude features of detected calls.
• Visualize whale calls using spectrograms.
• Evaluate model performance on real-world marine audio datasets.

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🧩 Technologies Used

• Python 3.8+
• NumPy, Pandas
• Librosa, Matplotlib, Seaborn
• TensorFlow / PyTorch
• Scikit-learn
• Jupyter Notebook

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📊 Sample Output

Task	Example
Spectrogram of Whale Call
Model Prediction Plot

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🚀 How to Run

1. Clone the repository:

   git clone https://github.com/<your-username>/Whale-Call-Detection-and-Analysis.git
   cd Whale-Call-Detection-and-Analysis