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Multi-label Ferns for Efficient Recognition of Musical Instruments in Recordings

  • Miron B. Kursa
  • Alicja A. Wieczorkowska
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8502)

Abstract

In this paper we introduce multi-label ferns, and apply this technique for automatic classification of musical instruments in audio recordings. We compare the performance of our proposed method to a set of binary random ferns, using jazz recordings as input data. Our main result is obtaining much faster classification and higher F-score. We also achieve substantial reduction of the model size.

Keywords

Random Forest Musical Instrument Audio Data Music Information Retrieval Prediction Speed 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Miron B. Kursa
    • 1
  • Alicja A. Wieczorkowska
    • 2
  1. 1.Interdisciplinary Centre for Mathematical and Computational Modelling (ICM)University of WarsawWarsawPoland
  2. 2.Polish-Japanese Institute of Information TechnologyWarsawPoland

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