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A deep learning algorithm to increase intelligibility for hearing-impaired listeners in the presence of a competing talker and reverberation
For deep learning based speech segregation to have translational significance as a noise-reduction tool, it must perform in a wide variety of acoustic environments. In the current study, performance was examined when target speech was subjected to interference from a single talker and room reverbera...
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| Publicat a: | J Acoust Soc Am |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Acoustical Society of America
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6420339/ https://ncbi.nlm.nih.gov/pubmed/31067936 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1121/1.5093547 |
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