JOURNAL ARTICLE

Music Genre Classification Using Neural Network

Tarannum ShaikhAshish Jadhav

Year: 2022 Journal:   ITM Web of Conferences Vol: 44 Pages: 03016-03016   Publisher: EDP Sciences

Abstract

Music Genre classification on Neural Network is presented in this article. The research work uses spectrogram images generated from the songs timeslices and given as input to NN to do classification of songs to their respective musical genre. The research work focuses on analyzing the parameters of the model. Using two different datasets and implementing NN technique we have achieved an optimized result. The Convolutional Neural Network model presented in this article classifies 10 classes of Music Genres with the improved accuracy.

Keywords:
Spectrogram Computer science Convolutional neural network Artificial neural network Artificial intelligence Musical Speech recognition Pattern recognition (psychology) Art Literature

Metrics

10
Cited By
1.75
FWCI (Field Weighted Citation Impact)
10
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Music and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Currency Recognition and Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Diverse Musicological Studies
Social Sciences →  Arts and Humanities →  Music

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