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Music Genre Classification using Spectrometers

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₹4,999.00

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Detail Description

Abstract

This project classifies music into genres like rock, jazz, pop, and classical using spectrograms and deep learning. Audio files are converted into spectrogram images, and a CNN model learns patterns to accurately predict the genre. The system is useful for music recommendation and digital library organization.


Existing System

  1. Uses manual feature extraction (MFCC, Chroma, ZCR)
  2. Algorithms: SVM, KNN, Random Forest


Proposed System

  1. Convert audio → spectrogram images
  2. Use CNN for automatic feature learning


Software Requirements

  1. Python
  2. Librosa
  3. TensorFlow / PyTorch
  4. NumPy, Pandas, Matplotlib
  5. Scikit-learn


Hardware Requirements

Minimum:

  1. Intel i3, 4GB RAM

Recommended:

  1. Intel i5/i7, 8GB+ RAM, GPU





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Music Genre Classification using Spectrometers
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₹4,999.00
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