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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/16659
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| タイトル: | Evaluation of the Lombard Effect Model on Synthesizing Lombard Speech in Varying Noise Level Environments with Limited Data |
| 著者: | Ngo, Thuan Van
Kubo, Rieko
Akagi, Masato |
| 発行日: | 2019-11-19 |
| 出版者: | Institute of Electrical and Electronics Engineers (IEEE) |
| 誌名: | 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) |
| 開始ページ: | 133 |
| 終了ページ: | 137 |
| DOI: | 10.1109/APSIPAASC47483.2019.9023227 |
| 抄録: | Lombard speech is intelligible speech produced by humans in noises. In this study, we focus on mimicking Lombard speech from natural neutral speech under backgrounds with varying noise levels to increase its intelligibility in these noises. Other approaches map corresponding speech features from the neutral speech to Lombard speech, which can only apply for an individual noise level, and cannot reveal feature tendencies. Instead, we implement a Lombard effect model to continuously estimate feature values with varying noise levels. The techniques, which are based on coarticulation, a source-filter model with MRTD and spectral-GMM, are used to easily modify features of the neutral speech to obtain their tendencies. Finally, these features are synthesized by STRAIGHT vocoder to obtain Lombard speech. The mimicking quality is evaluated in subjective listening experiments on similarity, naturalness, and intelligibility. The evaluation results show that the proposed method could convert neutral speech into Lombard speech in varying noise levels, which obtains comparable results with the state-of-the-art method. |
| Rights: | This is the author's version of the work. Copyright (C) 2019 IEEE. 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019, pp.133-137. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| URI: | http://hdl.handle.net/10119/16659 |
| 資料タイプ: | author |
| 出現コレクション: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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| APSIPA_2019_133.pdf | | 109Kb | Adobe PDF | 見る/開く |
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