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...

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Detalles Bibliográficos
Autores principales: Goehring, Tobias, Bolner, Federico, Monaghan, Jessica J.M., van Dijk, Bas, Zarowski, Andrzej, Bleeck, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier/North-Holland Biomedical Press 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5256482/
https://www.ncbi.nlm.nih.gov/pubmed/27913315
http://dx.doi.org/10.1016/j.heares.2016.11.012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5256482/
https://www.ncbi.nlm.nih.gov/pubmed/27913315
http://dx.doi.org/10.1016/j.heares.2016.11.012

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