Music Genre Classifier using Machine Learning Algorithms

Sparsh Nagpal · International Journal for Research in Applied Science and Engineering Technology · 2021

Audio data extraction and analysis is important and less explored compared to other forms of data. Here we use an Audio dataset (GTZan) to extract musical information and categorize the musical genre based on the parameters of audio. We compared the study on seven Machine learning algorithms and tested on unvisited user data to see the model performance seeing the algorithms’ accuracy ranging from 45% to 87%.

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