Predicting speech intelligibility with deep neural networks
•An automatic speech recognizer using deep neural networks is proposed as model to predict speech intelligibility (SI).•The DNN-based model predicts SI in normal-hearing listeners more accurately than four established SI models.•In contrast to baseline models, the proposed model predicts intelligibi...
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Published in | Computer speech & language Vol. 48; pp. 51 - 66 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.03.2018
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Subjects | |
Online Access | Get full text |
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