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Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users

Speech understanding in noisy environments is still one of the major challenges for cochlear implant (CI) users in everyday life. We evaluated a speech enhancement algorithm based on neural networks (NNSE) for improving speech intelligibility in noise for CI users. The algorithm decomposes the noisy...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Hear Res
Hauptverfasser: Goehring, Tobias, Bolner, Federico, Monaghan, Jessica J.M., van Dijk, Bas, Zarowski, Andrzej, Bleeck, Stefan
Format: Artigo
Sprache:Inglês
Veröffentlicht: Elsevier/North-Holland Biomedical Press 2017
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5256482/
https://ncbi.nlm.nih.gov/pubmed/27913315
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.heares.2016.11.012
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