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Deep Learning Techniques for Music Genre Classification and Feature Importance
  • Karan Srivastava
Karan Srivastava
Bellevue College

Corresponding Author:[email protected]

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Abstract

Utilized GTZAN dataset which consisted of features extracted at 3-second and .3-second intervals and includes features such as mel-frequency cepstrum, tempo, and harmony. Additionally, I used the raw audio signals and developed a 1D CNN for the classification of music genres. Experimented between different default and complex machine learning models for the music genre classification task on the GTZAN dataset as a whole.