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Performance Improvement of Multi-Channel Speech Enhancement Using Modified Intelligent Kalman Filtering Algorithm

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • Tusar Kanti Dash

    (Birla Institute of Technology, Department of Electronics and Communication Engineering
    C V Raman College of Engineering, Department of Electronics & Telecommunication Engineering)

  • Sandeep Singh Solanki

    (Birla Institute of Technology, Department of Electronics and Communication Engineering)

Abstract

In this paper, we propose a modified multichannel Kalman speech enhancement algorithm for the enhancement of noisy signal from the effect of colored noise. Compared with other multichannel speech enhancement algorithms, the projected algorithm requires lower computational resources with satisfactory noise reduction and lower signal distortion.

Suggested Citation

  • Tusar Kanti Dash & Sandeep Singh Solanki, 2020. "Performance Improvement of Multi-Channel Speech Enhancement Using Modified Intelligent Kalman Filtering Algorithm," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 979-983, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_99
    DOI: 10.1007/978-3-030-41862-5_99
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