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Music Genre Classification: Feature Evaluation by daniel is a document available to read on EtoBox.
What is Music Genre Classification: Feature Evaluation about?
This study evaluates the role of psycho-acoustic transformations in audio feature extraction for music genre classification, introducing new feature representations: Statistical Spectrum Descriptors and Rhythm Histogram features. The research demonstrates that incorporating psycho-acoustic processing significantly enhances classification accuracy across various music datasets. The findings highlight the complexity of defining musical genres and emphasize the importance of effective audio feature extraction
- Author
- daniel
- Language
- EN