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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Bibliographic Details
Published inComputer speech & language Vol. 48; pp. 51 - 66
Main Authors Spille, Constantin, Ewert, Stephan D., Kollmeier, Birger, Meyer, Bernd T.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.03.2018
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