Comparison of classification accuracy between different deep learning models and feature extraction techniques on GTZAN and FMA datasets.
收藏Figshare2025-10-14 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Comparison_of_classification_accuracy_between_different_deep_learning_models_and_feature_extraction_techniques_on_GTZAN_and_FMA_datasets_/30357822
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It contrasts the accuracy of various models, demonstrating the superiority of the proposed CNN-based architecture with Mel-Spectrograms over traditional feature extraction methods such as MFCC and standard spectrograms.
创建时间：
2025-10-14
