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Speech Enhancement Based on Noise Type and Wavelet Thresholding the Multitaper Spectrum

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Advances in Machine Learning and Signal Processing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 387))

Abstract

A speech enhancement system for noisy speech signals under different environments, namely airport, babble, car, exhibition, restaurant, station, street and train, is designed and implemented in this paper. Spectral subtraction is the most popular method for speech enhancement which suffers from perceptually annoying musical noise. Musical noise is reduced here by using low variance spectrum estimators and enhancement is achieved by wavelet thresholding the multitaper spectrum of the speech. The main feature of the proposed system is a novel switching mechanism to an optimal wavelet filter bank or wavelet packet filter bank matching to the critical bands of the human ear, based on the type of noise present in the input speech. The system is evaluated using noisy speech signals under different environment noises at different signal to noise ratios. The subjective and objective test results show that the proposed method improves the quality and intelligibility of speech signals.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology Calicut, Kozhikode, 673601, Kerala, India

    E.P. Jayakumar & P.S. Sathidevi

Authors
  1. E.P. Jayakumar
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  2. P.S. Sathidevi
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Corresponding author

Correspondence to E.P. Jayakumar .

Editor information

Editors and Affiliations

  1. University Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Ping Jack Soh

  2. Singapore Campus, #05-01 SIT Building, Newcastle University, Singapore, Singapore

    Wai Lok Woo

  3. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia

    Hamzah Asyrani Sulaiman

  4. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia

    Mohd Azlishah Othman

  5. University Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Mohd Shakir Saat

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Jayakumar, E., Sathidevi, P. (2016). Speech Enhancement Based on Noise Type and Wavelet Thresholding the Multitaper Spectrum. In: Soh, P., Woo, W., Sulaiman, H., Othman, M., Saat, M. (eds) Advances in Machine Learning and Signal Processing. Lecture Notes in Electrical Engineering, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-319-32213-1_17

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  • DOI: https://doi.org/10.1007/978-3-319-32213-1_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32212-4

  • Online ISBN: 978-3-319-32213-1

  • eBook Packages: EngineeringEngineering (R0)

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