Room impulse response reshaping/shortening based on least mean squares optimization with infinity norm constraint

  • Authors:
  • Tiemin Mei;Alfred Mertins;Markus Kallinger

  • Affiliations:
  • Institute for Signal Processing, University of Lübeck, Germany;Institute for Signal Processing, University of Lübeck, Germany;Institute for Signal Processing, University of Lübeck, Germany

  • Venue:
  • DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
  • Year:
  • 2009

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Abstract

The purpose of room impulse response (RIR) reshaping or shortening is to accelerate the attenuation of the original RIR so that the reverberation effect will be weakened and the intelligibility of speech played in the associated room will be improved. The unwanted energy of the RIR, which is captured with the help of a window function defined according to the average masking effect of the auditory system, is minimized with the temporal constraint of keeping the infinity norm of the global impulse response constant. Compared with some well known approaches, this new method demonstrates excellent performance in terms of the effectiveness of reshaping/ shortening the impulse response while closely retaining the frequency response of the room.