The benefit of combining a deep neural network architecture with ideal ratio mask estimation in computational speech segregation to improve speech intelligibility-Reference-Cited by-同舟云学术

The benefit of combining a deep neural network architecture with ideal ratio mask estimation in computational speech segregation to improve speech intelligibility

Published:2018-05-15 Issue:5 Volume:13 Page:e0196924
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Bentsen Thomas^ORCID,May Tobias^ORCID,Kressner Abigail A.^ORCID,Dau Torsten

Funder

Oticon Centre of Excellence for Hearing and Speech Sciences

EU FET grant Two!Ears

Danish Council for Independent Research (DFF)

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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5. May T, Dau T. Environment-aware ideal binary mask estimation using monaural cues. In: Proc. WASPAA. New Paltz, NY, USA; 2013. p. 1–4.

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