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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20211207T055349Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20211117T083000
DTEND;TZID=America/Chicago:20211117T170000
UID:submissions.supercomputing.org_SC21_sess242_spostu119@linklings.com
SUMMARY:Datastore Design for Analysis of Police Broadcast Audio at Scale
DESCRIPTION:ACM Student Research Competition: Graduate Poster, ACM Student
  Research Competition: Undergraduate Poster, Posters\n\nDatastore Design f
 or Analysis of Police Broadcast Audio at Scale\n\nAhmad\n\nWith policing c
 oming under greater scrutiny in recent years, researchers have begun to mo
 re thoroughly study the effects of contact between police and minority com
 munities. Despite data archives of hundreds of thousands of recorded Broad
 cast Police Communications (BPC) being openly available to the public, a c
 loser look at a large-scale analysis of the language of policing has remai
 ned largely unexplored. While this research is critical in understanding a
  "pre-reflective" notion of policing, the large quantity of data presents 
 numerous challenges in its organization and analysis.\n\nWe describe preli
 minary work toward enabling Speech Emotion Recognition (SER) in an analysi
 s of the Chicago Police Department's (CPD) BPC by demonstrating the pipeli
 ned creation of a datastore to enable a multimodal analysis of composed ra
 w audio files.\n\nTag: In-Person Only\n\nRegistration Category: Tech Progr
 am Reg Pass, Exhibit Hall Only
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