Keywords
Convolutional Neural Networks (CNN)
Lenet-5
CNN-64
How to Cite
Abstract
In this work we used two CNN models, to determine the genre of a particular musical composition, Lenet-5 and CNN-64 are trained on a dataset of audio samples. We evaluated the models based on accuracy and loss. We found that Lenet-5 achieved higher accuracy and lower loss than CNN-64, indicating its effectiveness. The outcome highlights potential for CNNs in retrieval of music data also demonstrate the utility of Lenet-5 for achieving high accuracy and low loss in genre classification. Thus we see that CNNs can be used in music-related applications, such as music recommendation systems and music transcription.References
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