Taking a look at your speech: identifying diagnostic status and negative symptoms of psychosis using convolutional neural networks
Abstract Speech-based indices are promising objective biomarkers for identifying schizophrenia and monitoring symptom burden. Static acoustic features show potential but often overlook time-varying acoustic cues that clinicians naturally evaluate—such as negative symptoms—during clinical interviews....
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | NPP-Digital Psychiatry and Neuroscience |
| Online Access: | https://doi.org/10.1038/s44277-025-00040-1 |
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