Kiñit classification in ethiopian chants, azmaris and modern music: a new dataset and cnn benchmark

HIGHLIGHTS

• who: Ephrem Afele Retta et al. from the School of Information Science and Technology, Northwest University, Xi`an, China, School of Computer have published the research: Kiu00f1it classification in Ethiopian chants, Azmaris and modern music: A new dataset and CNN benchmark, in the Journal: PLOS ONE of January/18,/2022
• what: The authors develop a high-performing variant of the VGG MIR model which has just four CNN layers. The authors compare Filterbank, MelSpec, Chroma and Mel-frequency Cepstral Coefficient (MFCC) features and show experimentally in an MIR task that MFCC leads to higher accuracy . . .
  

   

  

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