Automatic scoring method considering quality and content of speech for scat Japanese speaking test

Naoko Okubo; Yuto Yamahata; Takeshi Yamada; Shingo Imai; Kenkichi Ishizuka; Takahiro Shinozaki; Ryuichi Nisimura; Shoji Makino; Nobuhiko Kitawaki

doi:10.1109/ICSDA.2012.6422460

Automatic scoring method considering quality and content of speech for scat Japanese speaking test

Naoko Okubo, Yuto Yamahata, Takeshi Yamada, Shingo Imai, Kenkichi Ishizuka, Takahiro Shinozaki, Ryuichi Nisimura, Shoji Makino, Nobuhiko Kitawaki

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

We are now developing a Japanese speaking test called SCAT, which is part of J-CAT (Japanese Computerized Adaptive Test), a free online proficiency test for Japanese language learners. In this paper, we focus on the sentence-reading-aloud task and the sentence generation task in SCAT, and propose an automatic scoring method for estimating the overall score of answer speech, which is holistically determined by language teachers according to a rating standard. In that process, teachers carefully consider different factors but do not rate the scores of them. We therefore analyze how each factor contributes to the overall score. The factors are divided into two categories: the quality of speech and the content of speech. The former includes pronunciation and intonation, and the latter representation and vocabulary. We then propose an automatic scoring method based on the analysis. Experimental results confirm that the proposed method gives relatively accurate estimates of the overall score.

Original language	English
Title of host publication	Proceedings of the 2012 International Conference on Speech Database and Assessments, Oriental COCOSDA 2012
Pages	72-77
Number of pages	6
DOIs	https://doi.org/10.1109/ICSDA.2012.6422460
Publication status	Published - 2012 Dec 1
Externally published	Yes
Event	2012 15th International Conference on Speech Database and Assessments, Oriental COCOSDA 2012 - Macau Duration: 2012 Dec 9 → 2012 Dec 12

Other

Other	2012 15th International Conference on Speech Database and Assessments, Oriental COCOSDA 2012
City	Macau
Period	12/12/9 → 12/12/12

Keywords

automatic scoring
content of speech
J-CAT
quality of speech
SCAT Japanese speaking test

ASJC Scopus subject areas

Software
Speech and Hearing

Access to Document

10.1109/ICSDA.2012.6422460

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Cite this

Okubo, N., Yamahata, Y., Yamada, T., Imai, S., Ishizuka, K., Shinozaki, T., Nisimura, R., Makino, S., & Kitawaki, N. (2012). Automatic scoring method considering quality and content of speech for scat Japanese speaking test. In Proceedings of the 2012 International Conference on Speech Database and Assessments, Oriental COCOSDA 2012 (pp. 72-77). [6422460] https://doi.org/10.1109/ICSDA.2012.6422460

Automatic scoring method considering quality and content of speech for scat Japanese speaking test. / Okubo, Naoko; Yamahata, Yuto; Yamada, Takeshi; Imai, Shingo; Ishizuka, Kenkichi; Shinozaki, Takahiro; Nisimura, Ryuichi; Makino, Shoji; Kitawaki, Nobuhiko.

Proceedings of the 2012 International Conference on Speech Database and Assessments, Oriental COCOSDA 2012. 2012. p. 72-77 6422460.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Okubo, N, Yamahata, Y, Yamada, T, Imai, S, Ishizuka, K, Shinozaki, T, Nisimura, R, Makino, S & Kitawaki, N 2012, Automatic scoring method considering quality and content of speech for scat Japanese speaking test. in Proceedings of the 2012 International Conference on Speech Database and Assessments, Oriental COCOSDA 2012., 6422460, pp. 72-77, 2012 15th International Conference on Speech Database and Assessments, Oriental COCOSDA 2012, Macau, 12/12/9. https://doi.org/10.1109/ICSDA.2012.6422460

Okubo, Naoko ; Yamahata, Yuto ; Yamada, Takeshi ; Imai, Shingo ; Ishizuka, Kenkichi ; Shinozaki, Takahiro ; Nisimura, Ryuichi ; Makino, Shoji ; Kitawaki, Nobuhiko. / Automatic scoring method considering quality and content of speech for scat Japanese speaking test. Proceedings of the 2012 International Conference on Speech Database and Assessments, Oriental COCOSDA 2012. 2012. pp. 72-77

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abstract = "We are now developing a Japanese speaking test called SCAT, which is part of J-CAT (Japanese Computerized Adaptive Test), a free online proficiency test for Japanese language learners. In this paper, we focus on the sentence-reading-aloud task and the sentence generation task in SCAT, and propose an automatic scoring method for estimating the overall score of answer speech, which is holistically determined by language teachers according to a rating standard. In that process, teachers carefully consider different factors but do not rate the scores of them. We therefore analyze how each factor contributes to the overall score. The factors are divided into two categories: the quality of speech and the content of speech. The former includes pronunciation and intonation, and the latter representation and vocabulary. We then propose an automatic scoring method based on the analysis. Experimental results confirm that the proposed method gives relatively accurate estimates of the overall score.",

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AU - Imai, Shingo

AU - Ishizuka, Kenkichi

AU - Shinozaki, Takahiro

AU - Nisimura, Ryuichi

AU - Makino, Shoji

AU - Kitawaki, Nobuhiko

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AB - We are now developing a Japanese speaking test called SCAT, which is part of J-CAT (Japanese Computerized Adaptive Test), a free online proficiency test for Japanese language learners. In this paper, we focus on the sentence-reading-aloud task and the sentence generation task in SCAT, and propose an automatic scoring method for estimating the overall score of answer speech, which is holistically determined by language teachers according to a rating standard. In that process, teachers carefully consider different factors but do not rate the scores of them. We therefore analyze how each factor contributes to the overall score. The factors are divided into two categories: the quality of speech and the content of speech. The former includes pronunciation and intonation, and the latter representation and vocabulary. We then propose an automatic scoring method based on the analysis. Experimental results confirm that the proposed method gives relatively accurate estimates of the overall score.

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