Music Genre Classification Techniques
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IJERTV10IS110070
Music Genre Classification Techniques
Gautam Chettiar , Dr. Kalaivani S
In todays world, where people are attached to their phones and air pods, listening to music becomes a mundane part of our lives. It occurs at times where we find particular songs catchy due to their pitch, choice of pattern, lyrics and much more! Hence in recommendation systems implemented in apps such as Spotify, classifying the music according to genres becomes very important to enhance user experience. This paper aims to chart out various methods and parameters essential in the classification process, with use of Deep Learning techniques and an application of a Non-Linear Frequency Cepstrum. Music genres will be classified by taking FFT coefficients, followed by thy MFCCs and both coefficients will be used as inputs for Deep Learning models such CNN, RNN, KNN, Naïve Bayes Classifier and SVM, followed by a tabulation of the obtained results.
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