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Erschienen in:
26.11.2018 | RETRACTED ARTICLE
RETRACTED ARTICLE: Deep convolutional neural network-based speech enhancement to improve speech intelligibility and quality for hearing-impaired listeners
Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 3/2019
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Excerpt
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 The online version of this article contains the full text of the retracted article as electronic supplementary material.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.
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), https://doi.org/10.1016/j.heares.2016.11.012.
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), https://doi.org/10.1016/j.compbiomed.2017.08.022.
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); https://doi.org/10.1121/1.4977197.