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classical-music

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This project used NLP to topic model classical music based on musical chords. Classical composers were then clustered using the topics from the NLP, and then a neural network was used to generate original music based on trained music of the different classical composers. All of these metrics were used as a model for complexity of music.

  • Updated Jun 7, 2021
  • Jupyter Notebook

This project focuses on classifying Classical Music into its sub-genres. We have performed Data cleaning, Normalization and Standardization. We have extracted Mel-Frequency Cepstral Components(MFCC), dynamic, rhythm, tonal, and spectral features from the audio files. Algorithms like K-Nearest Neighbor, Random Forest, Support Vector Machine, Mult…

  • Updated Feb 2, 2022
  • Jupyter Notebook

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