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Speech Dereverberation Enhancement

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Proceedings of the 12th National Technical Seminar on Unmanned System Technology 2020

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 770))

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Abstract

Reverberation is the process of multi-path propagation of a sound from its source to a receiver. It is a blind problem where the source signal is unknown and non-stationary as well as the acoustic channel also unknown and time-varying. Therefore, the effect of reverberation on speech causes sound distant and spectrally distorted and can also reduce intelligibility. Dereverberation is therefore an important speech enhancement. However, different methods were proposed to reduce the noise with keeping the original signal as natural as possible. In this paper, a method was proposed using Wiener filter approach to enhance the reverberated speech signals. The mechanism and the theories of the Wiener filter on how to enhance the speech is fully explained. In addition, Discrete Fourier Transformation, linear spectrum normalization, correlation algorithms are explained in detail. The techniques of Wiener filter have been implemented and the desired results of enhanced speech have been obtained successfully.

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References

  1. Doire CSJ (2016) Single-channel enhancement of speech corrupted by reverberation and noise. Ph.D. Thesis, Imperial College, London, UK

    Google Scholar 

  2. Kilis Nikolaos, Mitianoudis Nikolaos (2019) A novel scheme for single-channel speech dereverberation. Acoustics 1:711–725

    Article  Google Scholar 

  3. Schroeder MR (1965) Apparatus for suppressing noise and distortion in communication signals. U.S. Patent 3,180,936, 27 Apr

    Google Scholar 

  4. Schroeder MR (1968) Processing of communication signals to reduce effects of noise. U.S. Patent 3,403,224, 24 Sept

    Google Scholar 

  5. Eason G, Noble B, Sneddon IN (1955) On certain integrals of Lipschitz-Hankel type involving products of Bessel functions. Philos Trans Roy Soc London A247:529–551

    Google Scholar 

  6. Ganga Prasad S A review of different approaches of spectral subtraction algorithms for speech enhancement. Department of Electronics, Madhav Institute of Technology & Science Gwalior, MP

    Google Scholar 

  7. Kulkarni D, Deshmukh R, Shrishrimal P (2016) A review of speech signal enhancement techniques

    Google Scholar 

  8. Seok JW, Bae KS (1997) Speech enhancement with reduction of noise components in the wavelet domain. In: 1997 IEEE international conference on acoustics, speech, and signal processing, vol 2

    Google Scholar 

  9. Xiu-zhen Z, Xu-hui F, Xia W (2008) Improved Kalman filter method for speech improved enhancement, vol 32

    Google Scholar 

  10. Saldanha JC (2016) Speech enhancement using filtering techniques. In: 3rd national conference on emerging trends in electronics and communication (NCETEC-16)

    Google Scholar 

  11. Sami S (2013) Speech enhancement using fast adaptive Kalman filtering algorithm along with weighting filter. Int J Sci Res 2(5):390–393. ISSN: 2319-7064

    Google Scholar 

  12. Kawamura A, Thanhikam W, Iiguni Y (2012) Single channel speech enhancement techniques in spectral domain. SRN Mech Eng 2012, Article ID 919234, 9 pp. https://doi.org/10.5402/2012/919234

  13. Akash AS, Rajesh KA (2017) Adaptive Weiner filter for speech enhancement under various noisy conditions. Int J Comput Appl 170(7)

    Google Scholar 

  14. Akash A., Rajesh K., (2017) Adaptive Weiner Filter for Speech Enhancement under Various Noisy Conditions. International Journal of Computer Applications 170 (7):9-11

    Google Scholar 

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Acknowledgements

This paper was supported in part by Fundamental Research Grant Scheme, Ministry of Higher Education, Malaysia (FRGS19-017-0625).

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Authors and Affiliations

  1. Electrical and Computer Engineering, International Islamic University Malaysia, 53100, Kuala Lumpur, Malaysia

    Othman O. Khalifa, Safiyah Hasmad & Noreha Abdul Malik

Authors
  1. Othman O. Khalifa
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  2. Safiyah Hasmad
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  3. Noreha Abdul Malik
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Corresponding author

Correspondence to Othman O. Khalifa .

Editor information

Editors and Affiliations

  1. Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia

    Khalid Isa

  2. Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Zainah Md. Zain

  3. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Pulau Pinang, Malaysia

    Rosmiwati Mohd-Mokhtar

  4. Faculty of Electrical and Electronic Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Maziyah Mat Noh

  5. Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Jalan Semarak, Kuala Lumpur, Malaysia

    Zool H. Ismail

  6. Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Ahmad Anas Yusof

  7. Faculty of Ocean Engineering Technology and Informatics (FTKKI), Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia

    Ahmad Faisal Mohamad Ayob

  8. Department of Electrical and Electronic Engineering, Universiti Teknologi Petronas, Bandar Seri Iskandar, Perak, Malaysia

    Syed Saad Azhar Ali

  9. Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn, Parit Raja, Johor, Malaysia

    Herdawatie Abdul Kadir

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Khalifa, O.O., Hasmad, S., Abdul Malik, N. (2022). Speech Dereverberation Enhancement. In: Isa, K., et al. Proceedings of the 12th National Technical Seminar on Unmanned System Technology 2020. Lecture Notes in Electrical Engineering, vol 770. Springer, Singapore. https://doi.org/10.1007/978-981-16-2406-3_24

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