• DocumentCode
    180002
  • Title

    A novel decorrelation approach for multichannel system identification

  • Author

    Romoli, Laura ; Cecchi, S. ; Piazza, Francesco

  • Author_Institution
    A3Lab., Univ. Politec. delle Marche, Ancona, Italy
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    6652
  • Lastpage
    6656
  • Abstract
    Multichannel sound reproduction systems aim at providing an optimal acoustical sensation to the listener by enhancing the listening experience and improving the spatial sound impression of the virtual scene. In this context, many audio applications requiring adaptive processing schemes have been developed in order to improve the performance of the audio reproduction. However, online multichannel systems identification requires the introduction of suitable solutions for overcoming the well-known non-uniqueness problem related to the correlation existing among the loudspeaker signals. This issue has been deeply investigated considering stereophonic systems but its extension to multichannel systems may not be so straightforward. In this paper, a novel solution for speech and audio signals is presented based on the “missing-fundamental” phenomenon. Experimental results proved the effectiveness of the approach also making comparisons with the existing state of the art.
  • Keywords
    audio signal processing; decorrelation; loudspeakers; speech processing; adaptive processing schemes; audio reproduction performance improvement; audio signals; listening experience enhancement; loudspeaker signals; missing-fundamental phenomenon; multichannel sound reproduction systems; nonuniqueness problem; novel decorrelation approach; online multichannel system identification; optimal acoustical sensation; spatial sound impression improvement; speech signals; stereophonic systems; virtual scene; Decorrelation; Echo cancellers; Loudspeakers; Speech; Speech processing; Channel decorrelation; missing-fundamental phenomenon; multichannel system identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854887
  • Filename
    6854887