A comparison of microphone and speech recognition engine efficacy for mobile data entry


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. 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.

Event Title: OTM '08 OTM Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems
Event Type: Other
Event Dates: 2008-01-01 - 2008-01-01
ISBN: 978-3-540-88874-1
Last Modified: 23 Oct 2019 12:31
Date Deposited: 10 Dec 2012 13:15
Published Date: 2008
Authors: Lumsden, Jo
Durling, Scott
Kondratova, Irina


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