Rok 2015

• Musical Instrument Separation Applied to Music Genre Classification . Separacja instrumentów muzycznych w zastosowaniu do rozpoznawania gatunków muzycznych

  Publikacja

  • A. Rosner
  • B. Kostek

  - Rok 2015

  This paper outlines first issues related to music genre classification and a short description of algorithms used for musical instrument separation. Also, the paper presents proposed optimization of the feature vectors used for music genre recognition. Then, the ability of decision algorithms to properly recognize music genres is discussed based on two databases. In addition, results are cited for another database with regard to...

Rok 2013

• A Study on Influence of Normalization Methods on Music Genre Classification Results Employing kNN Algorithms

  Publikacja

  • A. Rosner
  • M. Michalak
  • B. Kostek

  - Studia Informatica Pomerania - Rok 2013

  This paper presents a comparison of different normalization methods applied to the set of feature vectors of music pieces. Test results show the influence of min-nlax and Zero-Mean normalization methods, employing different distance functions (Euclidean, Manhattan, Chebyshev, Minkowski) as a pre-processing for genre classification, on k-Nearest Neighbor (kNN) algorithm classification results.

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• In uence of Low-Level Features Extracted from Rhythmic and Harmonic Sections on Music Genre Classi cation

  Publikacja

  • A. Rosner
  • F. Weninger
  • B. Schuller
  • M. Michalak
  • B. Kostek

  - Rok 2013

  We present a comprehensive evaluation of the infuence of 'harmonic' and rhythmic sections contained in an audio file on automatic music genre classi cation. The study is performed using the ISMIS database composed of music files, which are represented by vectors of acoustic parameters describing low-level music features. Non-negative Matrix Factorization serves for blind separation of instrument components. Rhythmic components...