• DocumentCode
    2811505
  • Title

    Blind upmix of stereo music signals using multi-step linear prediction based reverberation extraction

  • Author

    Kinoshita, Keisuke ; Nakatani, Tomohiro ; Miyoshi, Masato

  • Author_Institution
    NTT Commun. Sci. Labs., Kyoto, Japan
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    49
  • Lastpage
    52
  • Abstract
    We propose a blind upmixing method for stereo music signals that utilizes multi-step linear prediction and decomposes the input signals into reverberation and the dereverberated signals. The proposed method is directly motivated by our previously proposed dereverberation algorithm that was shown to dereverberate speech signals well. In this paper, we first analyze the behavior of the multi-step linear prediction and investigate the reverberation reduction/extraction strategy using a stereo music signal model. Based on the analysis, we show that the proposed method can perform a dereverberation and reverberation extraction based on the stereo music signal, and achieve an efficient blind upmix of stereo music by assigning its dereverberated signal to the front channels and extracted reverberation to the rear channels. In the experiment, we apply the proposed upmixing method to real stereo music signals, and confirm its effectiveness with an objective evaluation and a preference test.
  • Keywords
    audio signal processing; deconvolution; music; reverberation; blind upmixing method; dereverberated signal; dereverberation algorithm; input signal decompositon; multistep linear prediction; reverberation extraction; reverberation reduction; reverberation signal; stereo music signal blind upmixing; Audio recording; Laboratories; Multiple signal classification; Performance analysis; Predictive models; Reverberation; Signal analysis; Speech; Testing; Transfer functions; blind upmix; dereverberation; preference test; stereo music;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496234
  • Filename
    5496234