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Adaptive estimation and reshaping of room impulse response

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Abstract

In this paper, we focus on the reverberation depression in scenarios such as hand-free telephone and teleconference system applications. The combination of cross-relation based blind room impulse response (RIR) estimation and the p-norm based channel reshaping leads to this adaptive reverberation depression scheme. The normalized multi-channel frequency-domain least-mean-square (NMCFLMS) algorithm is used for RIR estimation and the p-norm optimization approach for channel reshaping. Simulations show that it is possible to establish such a post-processing system for reverberation depression. Listening tests verified that reverberation is hardly heard after channel reshaping.

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Authors and Affiliations

  1. School of Information Science and Engineering, Shenyang Ligong University, Shenyang, 110168, China

    Tiemin Mei & Pengcheng Hang

  2. Institute for Signal Processing, University of Lübeck, 23538, Lübeck, Germany

    Alfred Mertins

Authors
  1. Tiemin Mei
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  2. Pengcheng Hang
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  3. Alfred Mertins
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Correspondence to Tiemin Mei.

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Mei, T., Hang, P. & Mertins, A. Adaptive estimation and reshaping of room impulse response. Int J Speech Technol 18, 91–95 (2015). https://doi.org/10.1007/s10772-014-9252-6

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  • DOI: https://doi.org/10.1007/s10772-014-9252-6

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