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Speech enhancement based on perceptual filter bank improvement

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Abstract

In this paper, a new denoising approach is presented based on perceptual analysis. The noisy signal is split by a gammatone filterbank with nonlinear frequency distributions according to ERB scale. The frequency masking threshold is calculated in each sub-band according to the Johnston model in the output of the Wiener filter. This threshold is then used in the gain function given by the perceptual filter. The evaluation tests are performed by using objective criterion including perceptual evaluation of speech quality as well as subjective criterion including mean opinion score. Obtained results show that the proposed method achieves best results in terms of quality and intelligibility of enhanced signal.

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Authors and Affiliations

  1. Signal, Image and Information Technology Laboratory, National Engineering School of Tunis, Belvédère, PO Box 37, 1002 , Tunis, Tunisia

    Sana Alaya, Novlene Zoghlami & Zied Lachiri

  2. Instrumentation and Measures Department, National Institute of Applied Science and Technology, Urban Center Cedex, PO Box 676, Tunis, Tunisia

    Zied Lachiri

Authors
  1. Sana Alaya
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  2. Novlene Zoghlami
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  3. Zied Lachiri
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Correspondence to Sana Alaya.

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Alaya, S., Zoghlami, N. & Lachiri, Z. Speech enhancement based on perceptual filter bank improvement. Int J Speech Technol 17, 253–258 (2014). https://doi.org/10.1007/s10772-014-9226-8

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  • DOI: https://doi.org/10.1007/s10772-014-9226-8

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