• DocumentCode
    68980
  • Title

    Optimal rate allocation for speech enhancement using remote power-constrained wireless microphones

  • Author

    SRINIVASAN, SUDARSHAN ; Pandharipande, Ashish

  • Author_Institution
    Microsoft Corp., Redmond, WA, USA
  • Volume
    8
  • Issue
    7
  • fYear
    2014
  • fDate
    Sep-14
  • Firstpage
    792
  • Lastpage
    799
  • Abstract
    The problem of speech enhancement is considered in an interference environment, typical to applications like hands-free voice communication and multi-party conferencing. In the proposed system, a directional microphone placed at each interference is used to estimate the power spectral density (PSD) of the interference and the quantised PSD estimate is transmitted over a wireless link to an omnidirectional primary microphone that observes the corrupted source speech signal. At the primary microphone, the received observations are fused to obtain an estimate of the PSD of the desired speech signal. The problem of minimising transmitted power is considered subject to constraints on total transmission rate and maintaining the mean-squared error in the estimated speech signal PSD below a prescribed limit, under narrowband and broadband signal models. The optimisation problem is solved by determining the optimum rate for encoding signal PSDs. The proposed strategy is analysed using sample speech and music signals.
  • Keywords
    microphones; minimisation; radio links; speech coding; speech enhancement; broadband signal models; corrupted source speech signal; directional microphone; encoding signal PSDs; hands-free voice communication; interference environment; mean-squared error; multiparty conferencing; music signals; narrowband signal models; omnidirectional primary microphone; optimal rate allocation; optimisation problem; power spectral density estimation; quantised PSD estimate; remote power-constrained wireless microphones; speech enhancement; total transmission rate; transmitted power minimization; wireless link;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9675
  • Type

    jour

  • DOI
    10.1049/iet-spr.2013.0417
  • Filename
    6898680