• KAKARLA KIRAN
• v.neelima devi

Music genre is a classification system that classifies music into different types.The classification of music genre is very important to make a selection of songs from a large collection of data. Different features have been extracted as it is essential for the genre classification.We use convolution neural networks to classify music genres. The project aims to create an automated system for classification models of music genres.We use the most publicly used data set which is GTZAN for evaluation of music genres. It contains 10 genres(blues, classical, country, disco, hiphop, jazz, metal, pop,reggae, rock).The audio file is sent as input and the classification is done.CNN is used to classify the data furthermore

Music genre Classification; Acoustic features; Machine Learning; Deep Learning.

"MUSIC GENRE CLASSIFICATION MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.j58-j67, June-2023, Available :http://www.jetir.org/papers/JETIR2306910.pdf

"MUSIC GENRE CLASSIFICATION MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppj58-j67, June-2023, Available at : http://www.jetir.org/papers/JETIR2306910.pdf