• RecordNumber
    3530
  • Author

    Bica, Ion

  • Crop_Body
    Ion Bica and...
  • Title of Article

    Sound Signature Detection by Probability Density Function of Normalized Amplitudes

  • Title Of Journal
    Bridges
  • Publication Year
    2019
  • Abstract
    In this paper, we propose to use the probability density function of normalized amplitudes (PDFNA) to detect distinctive sounds in classical music. Based on data sets generated by waveform audio files (WAV files), we use the kernel method to estimate the probability density function. The confidence interval of the kernel density estimator is also given. In order to illustrate our method, we used the audio data collected from recordings of three composers; Johann Sebastian Bach (1686-1750), Ludwig van Beethoven (1770-1827) and Franz Schubert (1797-1828).