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Neural Network Approach to English Pronunciation Evaluation throughError Detection in Phonemes.
https://ipsj.ixsq.nii.ac.jp/records/220902
https://ipsj.ixsq.nii.ac.jp/records/220902229f9417-9538-4256-ba1d-7dc5b9d66d74
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-Z84-2R-07.pdf (278.4 kB)
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Copyright (c) 2022 by the Information Processing Society of Japan
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| Item type | National Convention(1) | |||||||||
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| 公開日 | 2022-02-17 | |||||||||
| タイトル | ||||||||||
| タイトル | Neural Network Approach to English Pronunciation Evaluation throughError Detection in Phonemes. | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | 人工知能と認知科学 | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||
| 資源タイプ | conference paper | |||||||||
| 著者所属 | ||||||||||
| 法大 | ||||||||||
| 著者所属 | ||||||||||
| 法大 | ||||||||||
| 著者名 |
ジョーバン, ダルハウス
× ジョーバン, ダルハウス
× 伊藤, 克亘
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| 論文抄録 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | This paper discusses a method to improve the pronunciation quality of English speech utterances made by Japanese Native Speakers solely through the use of Artificial Neural Networks（ANN）, independent of Hidden Markov Models which have commonly been used in Speech Recognition based CALL systems. This system carries out this evaluation based on detection of phonetic errors using bilingual models （Native English and Native Japanese English）, and also utilizes phone alignment via a modified CTC loss function to improve the phonetic detection rate. This research will evaluate the extent to which Neural Networks （BiLSTMs） can be used to improved English pronunciation quality without the use of an HMM finite state machine automaton. | |||||||||
| 書誌レコードID | ||||||||||
| 収録物識別子タイプ | NCID | |||||||||
| 収録物識別子 | AN00349328 | |||||||||
| 書誌情報 |
第84回全国大会講演論文集 巻 2022, 号 1, p. 311-312, 発行日 2022-02-17 |
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| 出版者 | ||||||||||
| 言語 | ja | |||||||||
| 出版者 | 情報処理学会 | |||||||||
