Speech-based system for detecting alcohol intoxication using optimized deep learning.
In this research, we propose a highly accurate speech-based system for detecting alcohol intoxication, utilizing deep learning algorithms to classify speech as either sober or intoxicated. The core of this system is the Dense Residual Recurrent Network (D2R_Net), which combines dense residual blocks...
| Published in: | Psychopharmacology pp. 1 - 15 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Published: |
Springer Nature
May2026
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| Online Access: | View this record in EBSCOhost |