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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...
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| Publicado no: | Hear Res |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier/North-Holland Biomedical Press
2017
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| Assuntos: | |
| Acesso em linha: | 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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