In this paper, we propose a novel speech input interface function, called "Speech Repair" in which recognition errors can be easily corrected by selecting candidates. During the speech input, this function displays not only the typical speech-recognition result but also other competitive candidates. Each word in the result is separated by line segments and accompanied by other word candidates. A user who finds a recognition error can simply select the correct word from the candidates for that temporal region. In order to overcome the difficulty of generating appropriate candidates, we adopted a confusion network that can condense a huge internal word graph of a large vocabulary continuous speech recognition (LVCSR) system. In our experiments, almost all recognition errors were corrected and the effectiveness of speech repair was confirmed.
Cite as: Ogata, J., Goto, M. (2005) Speech repair: quick error correction just by using selection operation for speech input interfaces. Proc. Interspeech 2005, 133-136, doi: 10.21437/Interspeech.2005-86
@inproceedings{ogata05_interspeech,
author={Jun Ogata and Masataka Goto},
title={{Speech repair: quick error correction just by using selection operation for speech input interfaces}},
year=2005,
booktitle={Proc. Interspeech 2005},
pages={133--136},
doi={10.21437/Interspeech.2005-86}
}