Medical & Biological Engineering & Computing

, Volume 57, Issue 3, pp 757–757 | Cite as

RETRACTED ARTICLE: Deep convolutional neural network-based speech enhancement to improve speech intelligibility and quality for hearing-impaired listeners

  • P. F. Khaleelur RahimanEmail author
  • V. S. Jayanthi
  • A. N. Jayanthi
The Editor-in-Chief has retracted this article as it shows significant overlap with publications [1, 2, 3]. None of the authors agree to the retraction. The online version of this article contains the full text of the retracted article as electronic supplementary material.
  1. 1.

    C Tobias Goehring, Federico Bolner, Jessica J.M. Monaghan, Bas van Dijk, Andrzej Zarowski, Stefan Bleeck: "Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users", Hearing Research 344, pp. 183-194 (2017),

  2. 2.

    Acharya, U. Rajendra and Oh, Shu Lih and Hagiwara, Yuki and Tan, Jen Hong and Adam, Muhammad and Gertych, Arkadiusz and Tan, Ru San: "A Deep Convolutional Neural Network Model to Classify Heartbeats", Comput. Biol. Med. 89 C, pp. 389-396 (2017),

  3. 3.

    Jessica J. M. Monaghan, Tobias Goehring, and Xin Yang: "Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners", The Journal of the Acoustical Society of America 141, 1985 (2017);



Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

11517_2018_1933_MOESM1_ESM.pdf (2.3 mb)
(PDF 2.26 MB)

Copyright information

© International Federation for Medical and Biological Engineering 2019

Authors and Affiliations

  • P. F. Khaleelur Rahiman
    • 1
    Email author
  • V. S. Jayanthi
    • 2
  • A. N. Jayanthi
    • 3
  1. 1.Electronics and Communication EngineeringHindusthan College of Engineering and TechnologyCoimbatoreIndia
  2. 2.Electronics and Communication EngineeringRajagiri School of Engineering and TechnologyCochinIndia
  3. 3.Electronics and Communication EngineeringSri Ramakrishna Institute of TechnologyCoimbatoreIndia

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