Objective speech intelligibility prediction using a deep learning model with continuous speech-evoked cortical auditory responses.
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| Title: | Objective speech intelligibility prediction using a deep learning model with continuous speech-evoked cortical auditory responses. |
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| Authors: | Na Y; Department of Biomedical Engineering, University of Ulsan, Ulsan, South Korea., Joo H; Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, South Korea., Trang LT; Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, South Korea., Quan LDA; Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, South Korea., Woo J; Department of Biomedical Engineering, University of Ulsan, Ulsan, South Korea.; Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, South Korea. |
| Source: | Frontiers in neuroscience [Front Neurosci] 2022 Aug 18; Vol. 16, pp. 906616. Date of Electronic Publication: 2022 Aug 18 (Print Publication: 2022). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101478481 Publication Model: eCollection Cited Medium: Print ISSN: 1662-4548 (Print) Linking ISSN: 1662453X NLM ISO Abbreviation: Front Neurosci Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1662-4548 |
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| DOI: | 10.3389/fnins.2022.906616 |
