Large-scale training to increase speech intelligibility for hearing-impaired listeners in novel noises.
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Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant usersLong short-term memory for speaker generalization in supervised speech separation.An algorithm to increase intelligibility for hearing-impaired listeners in the presence of a competing talker.Deep Learning Based Binaural Speech Separation in Reverberant Environments.Tolerable delay for speech production and perception: effects of hearing ability and experience with hearing aids.Use of a Deep Recurrent Neural Network to Reduce Wind Noise: Effects on Judged Speech Intelligibility and Sound Quality.The benefit of combining a deep neural network architecture with ideal ratio mask estimation in computational speech segregation to improve speech intelligibility.
P2860
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P2860
Large-scale training to increase speech intelligibility for hearing-impaired listeners in novel noises.
description
2016 nî lūn-bûn
@nan
2016 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Large-scale training to increa ...... red listeners in novel noises.
@ast
Large-scale training to increa ...... red listeners in novel noises.
@en
type
label
Large-scale training to increa ...... red listeners in novel noises.
@ast
Large-scale training to increa ...... red listeners in novel noises.
@en
prefLabel
Large-scale training to increa ...... red listeners in novel noises.
@ast
Large-scale training to increa ...... red listeners in novel noises.
@en
P2093
P2860
P356
P1476
Large-scale training to increa ...... ired listeners in novel noises
@en
P2093
DeLiang Wang
Eric W Healy
Sarah E Yoho
Yuxuan Wang
P2860
P356
10.1121/1.4948445
P50
P577
2016-05-01T00:00:00Z