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    On the indoor beamformer design with reverberation

    212876_212876.pdf (1.801Mb)
    Access Status
    Open access
    Authors
    Li, Z.
    Yiu, K.
    Nordholm, Sven
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Li, Z. and Yiu, K.F. and Nordholm, S. 2014. On the indoor beamformer design with reverberation. IEEE/ACM Transactions on audio, speech, and language processing. 22 (8): pp. 1225-1235.
    Source Title
    IEEE/ACM Transactions on audio, speech, and language processing
    DOI
    10.1109/TASLP.2014.2327299
    ISSN
    23299290
    School
    Department of Electrical and Computer Engineering
    Remarks

    Copyright © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/42285
    Collection
    • Curtin Research Publications
    Abstract

    Beamforming remains to be an important technique for signal enhancement. For applications in open space, the transfer function describing waves propagation has an explicit expression, which can be employed for beamformer design. However, the function becomes very complex in an indoor environment due to the effects of reverberation. In this paper, this problem is discussed. A method based on the image source method (ISM) is applied to model the room impulse responses (RIRs), which will act as the transfer function between source and sensor. The indoor beamformer design problem is formulated as a minimax optimization problem. We propose and study several optimization models based on the -norm to design the beamformer. We found that it is advantageous to separate early and late reverberations in the design process and better designs can be achieved. Several numerical experiments are presented using both simulated data and real recordings to evaluate the proposed methods.

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