| Download | - View accepted manuscript: A Comparison of Microphone and Speech Recognition Engine Efficacy for Mobile Data Entry (PDF, 228 KiB)
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| Author | Search for: Lumsden, Joanna; Search for: Durling, Scott; Search for: Kondratova, Irina |
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| Format | Text, Article |
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| Conference | The International Workshop on Mobile and Networking Technologies for Social Applications (MONET'2008), part of the LNCS on the Move (OTM) Federated Conferences and Workshops, November 9-14, 2008, Monterrey, Mexico |
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| Subject | mobile speech input; microphone efficacy; speech recognition accuracy/efficacy; mobile technology; mobile evaluation |
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| Abstract | 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. |
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| Publication date | 2008 |
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| In | |
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| Language | English |
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| NRC number | NRCC 50704 |
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| NPARC number | 8913464 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 21dfe695-d543-4ded-bd63-c3be4c48541b |
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| Record created | 2009-04-22 |
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| Record modified | 2020-08-12 |
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