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  • Conference paper
    Wen JYC, Naylor PA, 2007,

    Semantic colouration space investigation: Controlled colouration in the bark-sone domain

    , IEEE Workshop on Applications of Signal Processing to Audio and Acoutics, Publisher: IEEE, Pages: 89-92
  • Conference paper
    Thomas MRP, Gaubitch ND, Naylor PA, 2007,

    Multichannel DYPSA for Estimation of Glottal Closure Instants in Reverberant Speech

  • Conference paper
    Thomas MRP, Gaubitch ND, Gudnason J, Naylor PAet al., 2007,

    A practical multichannel dereverberation algorithm using Multichannel DYPSA and spatiotemporal averaging

    , IEEE Workshop on Applications of Signal Processing to Audio and Acoutics, Publisher: IEEE, Pages: 41-44
  • Conference paper
    Hasan MK, Naylor PA, 2006,

    Analyzing effect of noise on LMS-type approaches to blind estimation of SIMO channels: Robustness issue

    , ISSN: 2219-5491

    An analysis of the noise effect on the convergence characteristic of the least-mean-squares (LMS) type adaptive algorithms for blind channel identification is presented. It is shown that the adaptive blind algorithms misconverge in the presence of noise. A novel technique for ameliorating such misconvergence characteristic, using a frequency domain energy constraint in the adaptation rule, is proposed. Experimental results demonstrate that the robustness of the blind adaptive algorithms can be significantly improved using such constraints.

  • Conference paper
    Mintandjian L, Naylor PA, 2006,

    A study of echo in VoIP systems and synchronous convergence of the μ-law PNLMS algorithm

    , ISSN: 2219-5491

    A recent algorithm, the mu-law PNMLS, introduces a stepsize proportionate to the mu-law of the estimated tap coefficient to cancel sparse echo in telephony over packet-switch networks. It is derived by optimizing the following criterion: fastest convergence is obtained when all coefficients reach the vicinity of their target value at the same time. We present a study of synchronous convergence as introduced in this algorithm. Simulations for a 2-tap adaptive filter illustrate the optimality of mu-law PNLMS. We then compare the performances of this algorithm on multiple echo paths. This comparison shows some restrictions in the applicability of the optimality criterion and highlights possible improvements in robustness for this algorithm.

  • Journal article
    Gaubitch N D, Naylor P A, Ward D B, 2006,

    Statistical Analysis of the Autoregressive Modeling of Reverberant Speech

    , J. Acoust. Soc. America, Vol: 120, Pages: 4031-4039
  • Conference paper
    Bhunjun V, Brookes D M, Naylor P A, 2006,

    Model-based Eigen-spectrum Estimation for Speech Enhancement

    , 40th Asilomar Conference on Signals, Systems and Computers
  • Conference paper
    Khong, W H A, Naylor P A, 2006,

    Efficient Use of Sparse Adaptive Filters

    , 40th Asilomar Conference on Signals, Systems and Computers
  • Conference paper
    Ahmad R, Khong, W H A, Hasan M K, Naylor P Aet al., 2006,

    An Extended Normalized Multichannel FLMS Algorithm for Blind Channel Identification

    , European Signal Processing Conference
  • Conference paper
    Gaubitch N D, Naylor P A, 2006,

    THE COMPLEX MULTICHANNEL LMS ALGORITHM FOR ADAPTIVE BLIND SYSTEM IDENTIFICATION

    , International Workshop on Acoustic Echo and Noise Control
  • Conference paper
    Lin X, Gaubitch N D, Naylor P A, 2006,

    Two-stage blind identification of SIMO systems with common zeros

    , European Signal Processing Conference
  • Conference paper
    Wen, Y-C J, Gaubitch N D, Habets E, Myatt A, Naylor P Aet al., 2006,

    EVALUATION OF SPEECH DEREVERBERATION ALGORITHMS USING THE MARDY DATABASE

    , International Workshop on Acoustic Echo and Noise Control
  • Conference paper
    Hasan M K, Naylor P A, 2006,

    Effect of Noise on Blind Adaptive Multichannel Identification Algorithms: Robustness Issue

    , European Signal Processing Conference
  • Conference paper
    Wen, Y-C J, Naylor P A, 2006,

    An evaluation measure for reverberant speech using tail decay modelling

    , European Signal Processing Conference
  • Conference paper
    Mintandjian L, Naylor P A, 2006,

    A study of synchronous convergence in mu-law PNLMS for voice over IP

    , European Signal Processing Conference
  • Journal article
    Talantzis F, Ward DB, Naylor PA, 2006,

    Performance analysis of dynamic acoustic source separation in reverberant rooms

    , IEEE Transactions on Speech and Audio Processing, Vol: 14, Pages: 1378-1390, ISSN: 1558-7916
  • Journal article
    Khong AWH, Naylor PA, 2006,

    Stereophonic Acoustic Echo Cancellation Employing Selective-Tap Adaptive Algorithms

    , IEEE Trans. Audio, Speech and Language Processing, Vol: 14, Pages: 785-796
  • Journal article
    Khong AWH, Benesty J, Naylor PA, 2006,

    Stereophonic Acoustic Echo Cancellation: Analysis of the Misalignment in the Frequency Domain

    , IEEE Signal Processing Letters, Vol: 13, Pages: 33-36
  • Journal article
    Khong AWH, Naylor PA, 2006,

    Stereophonic acoustic echo cancellation employing selective-tap adaptive algorithms

    , Audio, Speech and Language Processing, IEEE Transactions on, Vol: 14, Pages: 785-796, ISSN: 1558-7916
  • Journal article
    Brookes M, Naylor PA, Gudnason J, 2006,

    A quantitative assessment of group delay methods for identifying glottal closures in voiced speech

    , IEEE Transactions on Audio, Speech, and Language Processing, Vol: 14, Pages: 456-466, ISSN: 1558-7916

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