Investigating microphone efficacy for facilitation of mobile speech-based data entry

  • Authors:
  • Joanna Lumsden;Irina Kondratova;Scott Durling

  • Affiliations:
  • National Research Council of Canada, Fredericton, N.B., Canada;National Research Council of Canada, Fredericton, N.B., Canada;University of New Brunswick, Fredericton, N.B., Canada

  • Venue:
  • BCS-HCI '07 Proceedings of the 21st British HCI Group Annual Conference on People and Computers: HCI...but not as we know it - Volume 1
  • Year:
  • 2007

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Abstract

Despite being nominated as a key potential interaction technique for supporting today's mobile technology user, the widespread commercialisation of speech-based input is currently being impeded by unacceptable recognition error rates. Developing effective speech-based solutions for use in mobile contexts, given the varying extent of background noise, is challenging. The research presented in this paper is part of an ongoing investigation into how best to incorporate speech-based input within mobile data collection applications. Specifically, this paper reports on a comparison of three different commercially available microphones in terms of their efficacy to facilitate mobile, speech-based data entry. We describe, in detail, our novel evaluation design as well as the results we obtained.