A Comparison of Microphone and Speech Recognition Engine Efficacy for Mobile Data Entry

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TypeArticle
ConferenceThe International Workshop on MObile andNEtworking Technologies for social applications (MONET'2008),part of the LNCS OnTheMove (OTM) Federated Conferences andWorkshops, November 9-14, 2008., Monterrey, Mexico
Subjectmobile speech input; microphone efficacy; speech recognition accuracy/efficacy; mobile technology; mobile evaluation
AbstractThe research presented in this paper is part of an ongoing investigation into how best to incorporate speech-based input within mobile data collection applications. In our previous work [1], we evaluated the ability of a single speech recognition engine to support accurate, mobile, speech-based data input. Here, we build on our previous research to compare the achievable speaker-independent accuracy rates of a variety of speech recognition engines; we also consider the relative effectiveness of different speech recognition engine and microphone pairings in terms of their ability to support accurate text entry under realistic mobile conditions of use. Our intent is to provide some initial empirical data derived from mobile, user-based evaluations to support technological decisions faced by developers of mobile applications that would benefit from, or require, speech-based data entry facilities.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number50704
NPARC number8913464
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Record identifier21dfe695-d543-4ded-bd63-c3be4c48541b
Record created2009-04-22
Record modified2016-05-09
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