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Music Genre Classification from Audio Spectrograms Using Deep Learning Techniques

Year: 2026

Type: preprint

Abstract: This paper presents a deep learning-based approach for automatic music genre classification using audio spectrograms. CNN, MLP, ResNet18, EfficientNetB0, and Vision Transformer models are evaluated on the GTZAN dataset.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22133300

Author: Farkhondeh, Ardalan

Language: English

Topic: Music and Audio Processing

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7204439033

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