GTZAN Music Genre Classification: Deep Learning Backbone Performance Comparison

Performance comparison of deep learning backbones and a proposed method on the GTZAN dataset. The dataset is a 5.5 KB Excel file authored by Yunyan Ma and last updated on April 9, 2026. It is licensed under CC-BY-4.0 and hosted on figshare.

Use Cases

• Benchmarking convolutional neural networks for music genre classification based on the GTZAN dataset.
• Comparing the performance of a proposed deep learning method against established backbones.
• Analyzing model accuracy and performance metrics for audio signal processing tasks.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and analysis.
• Provides a direct comparison of deep learning methods on a standard benchmark (GTZAN).
• Clear licensing (CC-BY-4.0) allows for open use and redistribution.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Yunyan Ma via figshare

Collection Method

Likely contains aggregated performance metrics from model evaluations.

Time Range

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Freshness

Last updated 2026-04-09 17:37:58; freshness should be verified.

Geography

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