English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

With policing coming under greater scrutiny in recent years, researchers havebegun to more thoroughly study the effects of contact between police andminority communities. Despite data archives of hundreds of thousands ofrecorded Broadcast Police Communications (BPC) being openly available to thepublic, a closer look at a large-scale analysis of the language of policing hasremained largely unexplored. While this research is critical in understanding a"pre-reflective" notion of policing, the large quantity of data presentsnumerous challenges in its organization and analysis.  In this paper, we describe preliminary work towards enabling Speech EmotionRecognition (SER) in an analysis of the Chicago Police Department's (CPD) BPCby demonstrating the pipelined creation of a datastore to enable a multimodalanalysis of composed raw audio files.

Datastore Design for Analysis of Police Broadcast Audio at Scale