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What is Audio Genre Classification: CNN vs ANN about?

This paper presents a comparative study of two music genre classification techniques using deep learning: one utilizing Convolutional Neural Networks (CNN) trained on audio spectrograms and the other employing Artificial Neural Networks (ANN) based on Mel-Frequency Cepstral Coefficients (MFCC). The study evaluates these models against the GTZAN genre collection dataset to determine their effectiveness in classifying audio signals. The research highlights the importance of automated genre classification in m

Author

Abdul Khalik

Language

EN