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Performance Analysis of Hard and Soft Thresholding Techniques for Speech Denoising Using FRFT

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International Conference on Advanced Computing Networking and Informatics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 870))

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Abstract

The fractional Fourier transform is an extended version of the classical Fourier transform which is a time–frequency distribution. FRFT finds a wide range of applications in the areas of signal processing, specifically in noise removal and signal restoration. This paper gives the application of fractional Fourier transform for speech denoising using hard and soft thresholding techniques. The additive white Gaussian noise (AWGN) is considered as affecting noise to the speech signal. The performance analysis is done based on soft and hard thresholding techniques. The performance is evaluated using MATLAB.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Medi-Caps Institute of Technology and Management, Indore, India

    Prafulla Kumar & Sarita Kansal

Authors
  1. Prafulla Kumar
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  2. Sarita Kansal
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Corresponding author

Correspondence to Prafulla Kumar .

Editor information

Editors and Affiliations

  1. Medi-Caps University, Indore, Madhya Pradesh, India

    Raj Kamal

  2. Loughborough University, Loughborough, UK

    Michael Henshaw

  3. Medi-Caps Group of Institutions, Indore, Madhya Pradesh, India

    Pramod S. Nair

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Kumar, P., Kansal, S. (2019). Performance Analysis of Hard and Soft Thresholding Techniques for Speech Denoising Using FRFT. In: Kamal, R., Henshaw, M., Nair, P. (eds) International Conference on Advanced Computing Networking and Informatics. Advances in Intelligent Systems and Computing, vol 870. Springer, Singapore. https://doi.org/10.1007/978-981-13-2673-8_43

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  • DOI: https://doi.org/10.1007/978-981-13-2673-8_43

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2672-1

  • Online ISBN: 978-981-13-2673-8

  • eBook Packages: EngineeringEngineering (R0)

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