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A multichannel speech enhancement method for functional MRI systems using a distributed microphone array.

Ali A Milani1, Govind Kannan, Issa M S Panahi

  • 1ali.a.milani@student.utdallas.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
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This study introduces a novel multichannel speech enhancement algorithm using subband adaptive filtering. It effectively reduces computational complexity for practical applications, even in challenging magnetic resonance imaging (MRI) environments.

Area of Science:

  • Signal Processing
  • Acoustics
  • Biomedical Engineering

Background:

  • Multichannel speech enhancement effectively reduces distortion, particularly in noisy environments like MRI.
  • Existing methods face high computational complexity, limiting practical use.
  • Subband filtering reduces complexity but degrades performance with more subbands.

Purpose of the Study:

  • To introduce a novel multichannel speech enhancement algorithm.
  • To address the computational complexity of existing methods.
  • To improve performance in high-noise environments like MRI.

Main Methods:

  • Developed a new multichannel speech enhancement algorithm.
  • Utilized subband adaptive filtering for complexity reduction.

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  • Tested the algorithm in real-world MRI room conditions.

    • Main Results:

    • The proposed algorithm achieves lower computational complexity.
    • Performance is maintained even with an increased number of subbands.
    • Demonstrated effectiveness in a practical MRI setting.

    Conclusions:

    • The new subband adaptive filtering algorithm offers a practical solution for multichannel speech enhancement.
    • It overcomes the limitations of previous subband methods in terms of performance and complexity.
    • The algorithm shows significant promise for use in noisy environments like MRI rooms.