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

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

View graph of relations Save citation


Research units


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.

Request a copy

Request a copy


Publication date2008
Publication titleOTM '08 proceedings of the OTM confederated international workshops and posters on on the move to meaningful internet systems : 2008 workshops : ADI, AWeSoMe, COMBEK, EI2N, IWSSA, MONET, OnToContent + QSI, ORM, PerSys, RDDS, SEMELS, and SWWS
EditorsRobert Meersman, Zahir Tari, Pilar Herrero
Number of pages9
ISBN (Print)978-3-540-88874-1
Original languageEnglish
EventOTM '08 OTM Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems - , United Kingdom
Duration: 1 Jan 20081 Jan 2008

Publication series

NameLecture notes in computer science
ISSN (Print)0302-9743


ConferenceOTM '08 OTM Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems
CountryUnited Kingdom

Employable Graduates; Exploitable Research

Copy the text from this field...