Automated depression analysis using convolutional neural networks from speech.
To help clinicians to efficiently diagnose the severity of a person's depression, the affective computing community and the artificial intelligence field have shown a growing interest in designing automated systems. The speech features have useful information for the diagnosis of depression. However...
| Publicado en: | Journal of Biomedical Informatics Vol. 83; pp. 103 - 112 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
Jul2018
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| Acceso en línea: | Ver este registro en EBSCOhost |