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Data collection and usability study of a PC-based speech application in various user environments
http://hdl.handle.net/2237/14834
http://hdl.handle.net/2237/148348542bc42-3ba7-4eb9-b383-71344463f626
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
hara_cocosda2008.pdf (291.6 kB)
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| アイテムタイプ | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2011-05-20 | |||||
| タイトル | ||||||
| タイトル | Data collection and usability study of a PC-based speech application in various user environments | |||||
| 言語 | en | |||||
| 著者 |
Hara, Sunao
× Hara, Sunao× Miyajima, Chiyomi× Ito, Katsunobu× Kitaoka, Norihide× Takeda, Kazuya |
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| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | As the spread of voice communication tools by Internet continues to spread, people have more chances to use microphones on their private PCs in various acoustic environments. In the case of using PC-based speech input application, such a variety of environments will cause speech recognition performance degradation. To improve speech recognition accuracy, it is crucial to collect speech data in the environment in which the system is used[1]. We collected speech interactions with PC-based applications in a wide range of user environments through a field test, and have obtained 488 hours of recorded data including 29 hours of speech segments, corresponding to about sixty thousand utterances. In addition to collecting data, we assessed system usability by a questionnaire that asked about system usability and the subjective impression of the speech recognition performance. Using the system data log and the questionnaire results, we analyzed the relationship among subjective performance and objective metrics. Through analysis, a Bayesian network based stochastic model was built that predicted the subjective score of system usability from personal profiles and several objective metrics. Results of experiments showed that each user's satisfaction index could be predicted for 35.2% of the subjects using the trained Bayesian network. | |||||
| 言語 | en | |||||
| 出版者 | ||||||
| 出版者 | The oriental chapter of COCOSDA (The International Committee for the Co-ordination and Standardization of Speech Databases and Assessment Techniques) | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
| タイプ | journal article | |||||
| 出版タイプ | ||||||
| 出版タイプ | AM | |||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
| 書誌情報 |
en : O-COCOSDA 2008 : proceedings of the 11th Oriental COCOSDA workshop in Kyoto Japan on November 25-27 2008 p. 39-44, 発行日 2008-11-25 |
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| 著者版フラグ | ||||||
| 値 | author | |||||
| URI | ||||||
| 識別子 | http://hdl.handle.net/2237/14834 | |||||
| 識別子タイプ | HDL | |||||
