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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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Vydáno v:J Acoust Soc Am
Hlavní autoři: Healy, Eric W., Delfarah, Masood, Johnson, Eric M., Wang, DeLiang
Médium: Artigo
Jazyk:Inglês
Vydáno: Acoustical Society of America 2019
Témata:
On-line přístup: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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