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arXiv · 1711.05355

Automatic Conflict Detection in Police Body-Worn Audio

Alistair Letcher·Jelena Trišović·Collin Cademartori·Xi Chen·Jason Xu
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Abstract

Automatic conflict detection has grown in relevance with the advent of body-worn technology, but existing metrics such as turn-taking and overlap are poor indicators of conflict in police-public interactions. Moreover, standard techniques to compute them fall short when applied to such diversified and noisy contexts. We develop a pipeline catered to this task combining adaptive noise removal, non-speech filtering and new measures of conflict based on the repetition and intensity of phrases in speech. We demonstrate the effectiveness of our approach on body-worn audio data collected by the Los Angeles Police Department.

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BibTeXRIS

Alistair Letcher, Jelena Trišović, Collin Cademartori, Xi Chen, Jason Xu. 2017-11-14. Automatic Conflict Detection in Police Body-Worn Audio. https://arxiv.org/abs/1711.05355

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