Conference Paper

Parakeet: a demonstration of speech recognition on a mobile touch-screen device.

DOI: 10.1145/1502650.1502726 Conference: Proceedings of the 2009 International Conference on Intelligent User Interfaces, February 8-11, 2009, Sanibel Island, Florida, USA
Source: DBLP

ABSTRACT We demonstrate Parakeet - a continuous speech recognition system for mobile touch-screen devices. Parakeet's inter- face is designed to make correcting errors easy on a hand- held device while on the move. Users correct errors using a touch-screen to either select alternative words from a word confusion network or by typing on a predictive software key- board. Our interface design was guided by computational experiments. We conducted a user study to validate our de- sign. We found novices entered text at 18 WPM while seated indoors and 13 WPM while walking outdoors. Author Keywords

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    ABSTRACT: The availability of real-time continuous speech recognition on mobile and embedded devices has opened up a wide range of research opportunities in human-computer interactive applications. Unfortunately, most of the work in this area to date has been confined to proprietary software, or has focused on limited domains with constrained grammars. In this paper, we present a preliminary case study on the porting and optimization of CMU Sphinx-11, a popular open source large vocabulary continuous speech recognition (LVCSR) system, to hand-held devices. The resulting system operates in an average 0.87 times real-time on a 206 MHz device, 8.03 times faster than the baseline system. To our knowledge, this is the first hand-held LVCSR system available under an open-source license
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    ABSTRACT: We present Parakeet, a system for continuous speech recognition on mobile touch-screen devices. The design of Parakeet was guided by computational experiments and validated by a user study. Participants had an average text entry rate of 18 words-per-minute (WPM) while seated indoors and 13 WPM while walking outdoors. In an expert pilot study, we found that speech recognition has the potential to be a highly competitive mobile text entry method, particularly in an actual mobile setting where users are walking around while entering text.
    Proceedings of the 2009 International Conference on Intelligent User Interfaces, February 8-11, 2009, Sanibel Island, Florida, USA; 01/2009

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