Student Work
Intoxication Detection from Audio Using Deep Learning
PublicDownloadable Content
open in viewerDriving under the influence is one of the largest risk factors leading to accidents. Intoxication manifests in the drinker’s voice. This paper explores deep learning architectures and hand extracted features to classify voice samples as either intoxicated of sober. Our method classifies intoxicated speech with an unweighted average recall of 59.2%.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-040720-170111
- Advisor
- Year
- 2020
- Date created
- 2020-04-07
- Resource type
- Major
- Rights statement
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- In Collection:
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MQP_Report_Final_Submission.pdf | Public | Download |
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