Automatic Fado Music Classification
Pedro Gir\~ao Antunes, David Martins de Matos, Ricardo Ribeiro, Isabel, Trancoso

TL;DR
This paper presents an automatic Fado music classification system that analyzes audio signals using spectral features, achieving high accuracy and demonstrating Fado's distinctive musical characteristics.
Contribution
The study introduces a novel audio feature set for Fado detection and validates its effectiveness with high accuracy in cross-validation and train/test setups.
Findings
97.6% accuracy in 10-fold cross-validation
95.8% accuracy in train/test setup
Fado's distinctive spectral features enable effective classification
Abstract
In late 2011, Fado was elevated to the oral and intangible heritage of humanity by UNESCO. This study aims to develop a tool for automatic detection of Fado music based on the audio signal. To do this, frequency spectrum-related characteristics were captured form the audio signal: in addition to the Mel Frequency Cepstral Coefficients (MFCCs) and the energy of the signal, the signal was further analysed in two frequency ranges, providing additional information. Tests were run both in a 10-fold cross-validation setup (97.6% accuracy), and in a traditional train/test setup (95.8% accuracy). The good results reflect the fact that Fado is a very distinctive musical style.
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Taxonomy
TopicsMusic and Audio Processing · Animal Vocal Communication and Behavior · Music Technology and Sound Studies
