Review Article
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Year 2020, Volume 3, Issue 1, 70 - 83, 01.06.2020

Abstract

References

  • [1] Ephraim (Y.) et Mallah (D.), « Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator », IEEE Transactions on Acoustics, Speech and Signal Processing, 32(6), December 1984
  • [2] S. Shekar and D.J. Ravi, “Denoising of a Speech Signal using Wiener Filter”, In: Proc. of the International Conf. on Current Trends in Engineering, Science and Technology, 2017.
  • [3] Loizou. P. C and Kim. G, “Reasons why current speech-enhancement algorithms do not improve speech intelligibility and suggested solutions,” IEEE Transactions on Audio, Speech, and Language Processing, vol.19, no.1, pp.47-56, 2011
  • [4] Kim. G, “Binary Mask Criteria Based on Distortion ConstraintsInduced by a Gain Function for Speech Enhancement,”IEEETransactions on Smart Processing and Computing, vol.2, no., pp. 197-202, 2013
  • [5] Scalart (P.) et Filho (J. V.). « Speech enhancement based on a priori signal to noise estimation ». Dans IEEE International Conference on Acoustics, Speech and Signal Processing, volume 2, p. 629–632, May 1996.
  • [6] Y. Zhao, Z.Q. Wang, and D. Wang, “A Two-Stage Algorithm for Noisy and Reverberant Speech Enhancement”, In: Proc. of the International Conference on Acoustics, Speech and Signal Processing, pp.5580-5584, 2017.
  • [7] Plapous (C.), Marro (C.) et Scalart (P.). « Speech enhancement using harmonic regeneration ». Dans IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphie, 2005
  • [8] Jie Wang, Chengcheng Yang Linhuang Yan, Manlu Huang and Jinqiu Sang† Guangzhou University, Guangzhou, ChinaSpeech Enhancement Algorithm of Binary MaskEstimation Based on a Priori SNR ConstraintsProceedings, APSIPA Annual Summit and Conference 2018
  • [9] Plapous (C.), Marro (C.) et Scalart (P.). « A two-step noise reduction technique ». Dans IEEE International Conference on Acoustics, Speech, and Signal Processing, volume 1, 2004.
  • [10] Plapous (C.). Traitements pour la réduction de bruit. Application à la communication parlée. Thèse de doctorat, Université de Rennes 1, 2005.
  • [11] Scalart (P.) et Lepauloux (L.). « On the convergence behavior of recursive adaptive noise cancellation structure in the presence of crosstalk ». Dans Sensor Signal Processing for Defence conference, London, September 2010.
  • [12] Lepauloux (L.), Scalart (P.) et Marro (C.). « Annulation de bruit à faible distorsion », 2009.
  • [13] [Crochiere 1983] R. E. Crochiere, et L. R. Rabiner, “Multirate Digital Signal Processing,” Prentice-Hall, Première édition, 1983.
  • [14] ITU-T Recommandation, Telephone Transmission Quality – Objective MeasuringApparatus, pp. 56, March (1996).

Denoising of Speech Signal Using Decision Directed Approach

Year 2020, Volume 3, Issue 1, 70 - 83, 01.06.2020

Abstract

This article deals with the problem of improving speech in noisy environments using the decisional approach (DD). The decision approach (DD) uses a priori estimation of the signal-to-noise ratio (SNR) for speech improvement and is used to estimate the time-varying noise spectrum, which results in better performance in terms of intelligibility and a reduction in musical noise. In this article, we propose recursive estimators for the a priori SNR and the spectral components of speech. We introduce a new statistical model which takes into account the temporal correlation between the successive vocal spectral components, while keeping the resulting algorithms simple. This model provides new information on the DD approach and allows the extension of existing speech improvement algorithms.

References

  • [1] Ephraim (Y.) et Mallah (D.), « Speech enhancement using a minimum mean-square error short-time spectral amplitude estimator », IEEE Transactions on Acoustics, Speech and Signal Processing, 32(6), December 1984
  • [2] S. Shekar and D.J. Ravi, “Denoising of a Speech Signal using Wiener Filter”, In: Proc. of the International Conf. on Current Trends in Engineering, Science and Technology, 2017.
  • [3] Loizou. P. C and Kim. G, “Reasons why current speech-enhancement algorithms do not improve speech intelligibility and suggested solutions,” IEEE Transactions on Audio, Speech, and Language Processing, vol.19, no.1, pp.47-56, 2011
  • [4] Kim. G, “Binary Mask Criteria Based on Distortion ConstraintsInduced by a Gain Function for Speech Enhancement,”IEEETransactions on Smart Processing and Computing, vol.2, no., pp. 197-202, 2013
  • [5] Scalart (P.) et Filho (J. V.). « Speech enhancement based on a priori signal to noise estimation ». Dans IEEE International Conference on Acoustics, Speech and Signal Processing, volume 2, p. 629–632, May 1996.
  • [6] Y. Zhao, Z.Q. Wang, and D. Wang, “A Two-Stage Algorithm for Noisy and Reverberant Speech Enhancement”, In: Proc. of the International Conference on Acoustics, Speech and Signal Processing, pp.5580-5584, 2017.
  • [7] Plapous (C.), Marro (C.) et Scalart (P.). « Speech enhancement using harmonic regeneration ». Dans IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphie, 2005
  • [8] Jie Wang, Chengcheng Yang Linhuang Yan, Manlu Huang and Jinqiu Sang† Guangzhou University, Guangzhou, ChinaSpeech Enhancement Algorithm of Binary MaskEstimation Based on a Priori SNR ConstraintsProceedings, APSIPA Annual Summit and Conference 2018
  • [9] Plapous (C.), Marro (C.) et Scalart (P.). « A two-step noise reduction technique ». Dans IEEE International Conference on Acoustics, Speech, and Signal Processing, volume 1, 2004.
  • [10] Plapous (C.). Traitements pour la réduction de bruit. Application à la communication parlée. Thèse de doctorat, Université de Rennes 1, 2005.
  • [11] Scalart (P.) et Lepauloux (L.). « On the convergence behavior of recursive adaptive noise cancellation structure in the presence of crosstalk ». Dans Sensor Signal Processing for Defence conference, London, September 2010.
  • [12] Lepauloux (L.), Scalart (P.) et Marro (C.). « Annulation de bruit à faible distorsion », 2009.
  • [13] [Crochiere 1983] R. E. Crochiere, et L. R. Rabiner, “Multirate Digital Signal Processing,” Prentice-Hall, Première édition, 1983.
  • [14] ITU-T Recommandation, Telephone Transmission Quality – Objective MeasuringApparatus, pp. 56, March (1996).

Details

Primary Language English
Subjects Computer Science, Interdisciplinary Application
Journal Section Articles
Authors

Abdelli OUARDİA (Primary Author)
USTHB algeria
Algeria


Fatiha MERAZKA This is me
USTHB University
Algeria

Publication Date June 1, 2020
Published in Issue Year 2020, Volume 3, Issue 1

Cite

Bibtex @review article { ijiam656733, journal = {International Journal of Informatics and Applied Mathematics}, issn = {}, eissn = {2667-6990}, address = {}, publisher = {International Society of Academicians}, year = {2020}, volume = {3}, pages = {70 - 83}, doi = {}, title = {Denoising of Speech Signal Using Decision Directed Approach}, key = {cite}, author = {Ouardia, Abdelli and Merazka, Fatiha} }
APA Ouardia, A. & Merazka, F. (2020). Denoising of Speech Signal Using Decision Directed Approach . International Journal of Informatics and Applied Mathematics , 3 (1) , 70-83 . Retrieved from https://dergipark.org.tr/en/pub/ijiam/issue/54619/656733
MLA Ouardia, A. , Merazka, F. "Denoising of Speech Signal Using Decision Directed Approach" . International Journal of Informatics and Applied Mathematics 3 (2020 ): 70-83 <https://dergipark.org.tr/en/pub/ijiam/issue/54619/656733>
Chicago Ouardia, A. , Merazka, F. "Denoising of Speech Signal Using Decision Directed Approach". International Journal of Informatics and Applied Mathematics 3 (2020 ): 70-83
RIS TY - JOUR T1 - Denoising of Speech Signal Using Decision Directed Approach AU - Abdelli Ouardia , Fatiha Merazka Y1 - 2020 PY - 2020 N1 - DO - T2 - International Journal of Informatics and Applied Mathematics JF - Journal JO - JOR SP - 70 EP - 83 VL - 3 IS - 1 SN - -2667-6990 M3 - UR - Y2 - 2020 ER -
EndNote %0 International Journal of Informatics and Applied Mathematics Denoising of Speech Signal Using Decision Directed Approach %A Abdelli Ouardia , Fatiha Merazka %T Denoising of Speech Signal Using Decision Directed Approach %D 2020 %J International Journal of Informatics and Applied Mathematics %P -2667-6990 %V 3 %N 1 %R %U
ISNAD Ouardia, Abdelli , Merazka, Fatiha . "Denoising of Speech Signal Using Decision Directed Approach". International Journal of Informatics and Applied Mathematics 3 / 1 (June 2020): 70-83 .
AMA Ouardia A. , Merazka F. Denoising of Speech Signal Using Decision Directed Approach. IJIAM. 2020; 3(1): 70-83.
Vancouver Ouardia A. , Merazka F. Denoising of Speech Signal Using Decision Directed Approach. International Journal of Informatics and Applied Mathematics. 2020; 3(1): 70-83.
IEEE A. Ouardia and F. Merazka , "Denoising of Speech Signal Using Decision Directed Approach", International Journal of Informatics and Applied Mathematics, vol. 3, no. 1, pp. 70-83, Jun. 2020

International Journal of Informatics and Applied Mathematics