Gaining efficiency in human assisted transcription and speech annotation in legislative proceedings

Thorsten Ruprechter, Foaad Khosmood, Toshihiro Kuboi, Alex Dekhtyar, Christian Gütl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a study using the Digital Democracy transcription tool. Human transcribers work to up-level and annotate California state legislative proceedings using the tool. Four phases of UI and functionality improvements are introduced and for each phase, the resulting change in efficiency is measured and presented.

Original languageEnglish
Title of host publicationProceedings of the 19th Annual International Conference on Digital Government Research
Subtitle of host publicationGovernance in the Data Age, DG.O 2018
PublisherAssociation of Computing Machinery
ISBN (Electronic)9781450365260
DOIs
Publication statusPublished - 30 May 2018
Event19th Annual International Conference on Digital Government Research: Governance in the Data Age, DG.O 2018 - Delf, Netherlands
Duration: 30 May 20181 Jun 2018

Conference

Conference19th Annual International Conference on Digital Government Research: Governance in the Data Age, DG.O 2018
CountryNetherlands
CityDelf
Period30/05/181/06/18

Keywords

  • Government transparency
  • Log analysis
  • Speaker detection
  • Speaker recognition
  • Speech annotation
  • Speech tagging
  • Transcription software
  • Transcription system
  • Transcription tool
  • User behavior

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Fingerprint Dive into the research topics of 'Gaining efficiency in human assisted transcription and speech annotation in legislative proceedings'. Together they form a unique fingerprint.

  • Cite this

    Ruprechter, T., Khosmood, F., Kuboi, T., Dekhtyar, A., & Gütl, C. (2018). Gaining efficiency in human assisted transcription and speech annotation in legislative proceedings. In Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age, DG.O 2018 [a117] Association of Computing Machinery. https://doi.org/10.1145/3209281.3209410