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A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions
Recently, deep learning based speech segregation has been shown to improve human speech intelligibility in noisy environments. However, one important factor not yet considered is room reverberation, which characterizes typical daily environments. The combination of reverberation and background noise...
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| Publicado en: | J Acoust Soc Am |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Acoustical Society of America
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6167229/ https://ncbi.nlm.nih.gov/pubmed/30424625 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1121/1.5055562 |
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