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A Wavelet Packet Based Approach for Speech Enhancement Using Modulation Channel Selection

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Abstract

In this paper, a wavelet packet based speech enhancement system is proposed for noise reduction. In the proposed method, a modulation channel selection is used as a thresholding function for de-noising. Three levels 8 sub-band wavelet packet decomposition is used and all sub-bands are given to threshold function for noise suppression. This novel modulation channel selection is based on calculation of true signal-to-noise ratio (SNR) by thresholding with local SNR of −7 dB. The presented method is used for noise suppression in single-channel speech patterns. Objective and subjective parameters are used for performance evaluation of this method. The performance of the proposed method is also compared with spectral subtraction, mband, mmse, test-psc, idbm, klt, and pklt. The proposed method give maximum intelligibility and quality in compared to other given methods. MATLAB 7.14 is used for simulation.

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Authors and Affiliations

  1. Department of Electrical & Electronics Engineering, SRMS CET, Bareilly, India

    Sachin Singh

  2. Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India

    Sachin Singh, Manoj Tripathy & R. S. Anand

Authors
  1. Sachin Singh
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  2. Manoj Tripathy
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  3. R. S. Anand
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Correspondence to Sachin Singh.

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Singh, S., Tripathy, M. & Anand, R.S. A Wavelet Packet Based Approach for Speech Enhancement Using Modulation Channel Selection. Wireless Pers Commun 95, 4441–4456 (2017). https://doi.org/10.1007/s11277-017-4094-6

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  • DOI: https://doi.org/10.1007/s11277-017-4094-6

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