One-Step Error Detection and Correction Approach for Voice Word Processor

Junhwi CHOI; Seonghan RYU; Kyusong LEE; Gary Geunbae LEE

doi:10.1587/transinf.2014EDP7392

One-Step Error Detection and Correction Approach for Voice Word Processor

Junhwi CHOI, Seonghan RYU, Kyusong LEE, Gary Geunbae LEE

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Summary :

We propose a one-step error detection and correction interface for a voice word processor. This correction interface performs analysis region detection, user intention understanding and error correction utterance recognition, all from a single user utterance input. We evaluate the performance of each component first, and then compare the effectiveness of our interface to two previous interfaces. Our evaluation demonstrates that each component is technically superior to the baselines and that our one-step error detection and correction method yields an error correction interface that is more convenient and natural than the two previous interfaces.

Publication: IEICE TRANSACTIONS on Information Vol.E98-D No.8 pp.1517-1525

Publication Date: 2015/08/01

Publicized: 2015/05/20

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2014EDP7392

Type of Manuscript: PAPER

Category: Artificial Intelligence, Data Mining

Authors

Junhwi CHOI
  Pohang University of Science and Technology
Seonghan RYU
  Pohang University of Science and Technology
Kyusong LEE
  Pohang University of Science and Technology
Gary Geunbae LEE
  Pohang University of Science and Technology

Keyword

speech recognition, natural language processing, languages and software systems

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Junhwi CHOI, Seonghan RYU, Kyusong LEE, Gary Geunbae LEE, "One-Step Error Detection and Correction Approach for Voice Word Processor" in IEICE TRANSACTIONS on Information, vol. E98-D, no. 8, pp. 1517-1525, August 2015, doi: 10.1587/transinf.2014EDP7392.
Abstract: We propose a one-step error detection and correction interface for a voice word processor. This correction interface performs analysis region detection, user intention understanding and error correction utterance recognition, all from a single user utterance input. We evaluate the performance of each component first, and then compare the effectiveness of our interface to two previous interfaces. Our evaluation demonstrates that each component is technically superior to the baselines and that our one-step error detection and correction method yields an error correction interface that is more convenient and natural than the two previous interfaces.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2014EDP7392/_p

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@ARTICLE{e98-d_8_1517,
author={Junhwi CHOI, Seonghan RYU, Kyusong LEE, Gary Geunbae LEE, },
journal={IEICE TRANSACTIONS on Information},
title={One-Step Error Detection and Correction Approach for Voice Word Processor},
year={2015},
volume={E98-D},
number={8},
pages={1517-1525},
abstract={We propose a one-step error detection and correction interface for a voice word processor. This correction interface performs analysis region detection, user intention understanding and error correction utterance recognition, all from a single user utterance input. We evaluate the performance of each component first, and then compare the effectiveness of our interface to two previous interfaces. Our evaluation demonstrates that each component is technically superior to the baselines and that our one-step error detection and correction method yields an error correction interface that is more convenient and natural than the two previous interfaces.},
keywords={},
doi={10.1587/transinf.2014EDP7392},
ISSN={1745-1361},
month={August},}

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TY - JOUR
TI - One-Step Error Detection and Correction Approach for Voice Word Processor
T2 - IEICE TRANSACTIONS on Information
SP - 1517
EP - 1525
AU - Junhwi CHOI
AU - Seonghan RYU
AU - Kyusong LEE
AU - Gary Geunbae LEE
PY - 2015
DO - 10.1587/transinf.2014EDP7392
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2015
AB - We propose a one-step error detection and correction interface for a voice word processor. This correction interface performs analysis region detection, user intention understanding and error correction utterance recognition, all from a single user utterance input. We evaluate the performance of each component first, and then compare the effectiveness of our interface to two previous interfaces. Our evaluation demonstrates that each component is technically superior to the baselines and that our one-step error detection and correction method yields an error correction interface that is more convenient and natural than the two previous interfaces.
ER -