Notes on phonological based drunken detection algorithm
Adel Rahimi
TL;DR
This paper introduces a novel alcohol detection algorithm that analyzes speech pauses compared to previous recordings to determine intoxication levels.
Contribution
The paper presents a new speech-based algorithm for drunkenness detection using pause frequency comparison with prior recordings.
Findings
Effective in identifying intoxicated speakers
Relies on pause frequency differences
Potential for real-time alcohol detection systems
Abstract
In this paper we propose a new algorithm for detecting if a person is under the influence of alcohol. This algorithm is based on number of pauses the speaker makes by judging that if the number of pauses compared to the previous recordings of the same person, which has been recorded beforehand, is higher. If so the algorithm mark the speaker as drunk.
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Taxonomy
TopicsVideo Analysis and Summarization · Speech Recognition and Synthesis · Network Packet Processing and Optimization