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A Novel Speech/Music Discrimination Using Feature Dimensionality Reduction

  • Received : 2009.12.07
  • Accepted : 2010.01.15
  • Published : 2010.03.25

Abstract

In this paper, we propose an improved speech/music discrimination method based on a feature combination and dimensionality reduction approach. To improve discrimination ability, we use a feature based on spectral duration analysis and employ the hierarchical dimensionality reduction (HDR) method to reduce the effect of correlated features. Through various kinds of experiments on speech and music, it is shown that the proposed method showed high discrimination results when compared with conventional methods.

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Cited by

  1. A Classification Method Using Data Reduction vol.12, pp.1, 2012, https://doi.org/10.5391/IJFIS.2012.12.1.1