APA
Click to copy
Murad, C., Munteanu, C., & Stuerzlinger, W. (2019). Effects of WER on ASR Correction Interfaces for Mobile Text Entry. In International Conference on Human-Computer Interaction with Mobile Devices and Services.
Chicago/Turabian
Click to copy
Murad, Christine, Cosmin Munteanu, and W. Stuerzlinger. “Effects of WER on ASR Correction Interfaces for Mobile Text Entry.” In International Conference on Human-Computer Interaction with Mobile Devices and Services, 2019.
MLA
Click to copy
Murad, Christine, et al. “Effects of WER on ASR Correction Interfaces for Mobile Text Entry.” International Conference on Human-Computer Interaction with Mobile Devices and Services, 2019.
BibTeX Click to copy
@inproceedings{christine2019a,
title = {Effects of WER on ASR Correction Interfaces for Mobile Text Entry},
year = {2019},
journal = {International Conference on Human-Computer Interaction with Mobile Devices and Services},
author = {Murad, Christine and Munteanu, Cosmin and Stuerzlinger, W.}
}
Speech is increasingly being used as a method for text entry, especially on commercial mobile devices such as smartphones. While automatic speech recognition has seen great advances, factors like acoustic noise, differences in language or accents can affect the accuracy of speech dictation for mobile text entry. There has been some research on interfaces that enable users to intervene in the process, by correcting speech recognition errors. However, there is currently little research that investigates the effect of Automatic Speech Recognition (ASR) metrics, such as word error rate, on human performance and usability of speech recognition correction interfaces for mobile devices. This research explores how word error rates affect the usability and usefulness of touch-based speech recognition correction interfaces in the context of mobile device text entry.