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Audio ProcessingAcademic Project
Audio Classification
A machine learning model to process and classify audio signals using Neural Networks.
01The Challenge
Classifying non-textual unstructured audio data.
02The Solution
Extracted MFCCs and fed them into a Neural Network built with PyTorch.
03The Results
Highlighted ability to apply deep learning to signal processing.
Key Features
What makes this project unique
Features data coming soon...
Project Gallery
An immersive look into the design and interface.
Technologies Used
Built with modern tech stack
PyTorch
Librosa
AudioMNIST