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Adaptive microphone array for unknown desired speaker's transfer function.

Istvan I Papp1, Zoran M Saric, Slobodan T Jovicic

  • 1Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia. istvan.papp@micronasnit.com

The Journal of the Acoustical Society of America
|August 4, 2007
PubMed
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This study enhances the minimum variance distortionless response (MVDR) beamformer to prevent speech signal cancellation in reverberant environments. The improved algorithm shows better restored speech quality compared to traditional methods.

Area of Science:

  • Signal Processing
  • Acoustics
  • Speech Enhancement

Background:

  • Minimum Variance Distortionless Response (MVDR) beamformers can cancel desired speech signals.
  • Multi-path wave propagation and room reverberation degrade beamformer performance.
  • Existing adaptive algorithms struggle with desired signal cancellation in reverberant conditions.

Purpose of the Study:

  • To develop a robust adaptive algorithm for MVDR beamforming.
  • To prevent desired speech signal cancellation in reverberant environments.
  • To improve speech quality in challenging acoustic conditions.

Main Methods:

  • Proposed an estimation method for the unknown desired speaker's transfer function.
  • Utilized signal and interference covariance matrices for transfer function estimation.

Related Experiment Videos

  • Integrated the estimated transfer function into the MVDR beamformer framework.

    • Main Results:

    • The proposed algorithm demonstrated robustness against room reverberation.
    • Effective prevention of desired signal cancellation was observed.
    • Simulated tests in a reverberant room showed superior restored speech quality.

    Conclusions:

    • The novel transfer function estimation significantly improves MVDR beamformer performance.
    • The enhanced algorithm offers better speech restoration in reverberant settings.
    • This approach provides a viable solution for robust speech enhancement in practical acoustic environments.