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 speechbased 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.
Content
Author and article information
Contributors
Joanna Lumsden
Irina Kondratova
Scott Durling
Conference
Publication date:
September
2007
Publication date
(Print):
September
2007
Pages: 1-9
Affiliations
[0001]National Research Council of Canada
46 Dineen Drive, Fredericton, N.B.,
Canada, E3B 9W4
1.506.444.{0382,0489}
[0002]University of New Brunswick
Fredericton, N.B.,
Canada, E3B 5A3
1.506.444.0481