OROMO CULTURAL MUSIC GENRE CLASSIFICATION USING DEEP LEARNING APPROACH

2025/07/29 by LETA BELAY NIGUSA

paper · doi:10.20372/nadre:13878

Abstract

Major Advisor: Dr. M.Kumarasamy Abstract Music is certainly one of the most important problems within the world because of its significance and association with special aspects folks like faith, fitness, and lifestyle and so forth. Besides to that huge numbers of musical productions are delivered and launched in special forms; numerous song record categorization strategies are also on being brought for facilitating the project of archiving and different musical record management obligations. This means that song streaming systems need to categorize these songs to enhance person revel in. We are able to use various capabilities (like vocals, instruments, pace and many others.) of a song to classify them into distinctive classes. However, figuring out those capabilities is a hard task. In an effort to pick out the functions of a track that may appropriately classify them into their respective style with decreased human interaction, we pass for deep learning knowledge of strategies. In this work, we deal with the automated class of Oromo Cultural Music to their respective locality the use of audio functions. To obtain that we use deep neural network architecture composed of Convolutional Neural Network (CNN). This architecture has an audio feature extracting, Learning and prediction thing which takes Mel-frequency Cepstral Coefficient of an audio sign as an Input. After this MFCC is fed ahead to the Learning and Prediction aspect the magnificence of the track audio can be predicted. We did a test to recognize the overall performance of the proposed system. We accrued track data that represent Oromo Cultural Music from net-based track archive together with YouTube and personal music collections. After passing the collected records through a pre-processing step, we skilled the proposed machine. The performance of the audio information classifier turned into 88%. Keywords: Oromo Cultural Music; Genre; Convolutional Neural Network; Mel frequency Cepstral Coefficient; Fourier Transform

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