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Mixture Density Models Based on Mel-Cepstral Representation of Gaussian Process
https://nitech.repo.nii.ac.jp/records/5153
https://nitech.repo.nii.ac.jp/records/515324f4b812-262c-408a-9a39-6f3f31d96add
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
本文_fulltext (1.1 MB)
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Copyright (c) 2003 IEICE http://search.ieice.org/index.html
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||||||||||
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| 公開日 | 2012-11-07 | |||||||||||||||||||
| タイトル | ||||||||||||||||||||
| タイトル | Mixture Density Models Based on Mel-Cepstral Representation of Gaussian Process | |||||||||||||||||||
| 言語 | en | |||||||||||||||||||
| 言語 | ||||||||||||||||||||
| 言語 | eng | |||||||||||||||||||
| 資源タイプ | ||||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||||
| 著者 |
Takahashi, Toru
× Takahashi, Toru
× 徳田, 恵一
× Kobayashi, Takao
× Kitamura, Tadashi
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| 著者別名 | ||||||||||||||||||||
| 姓名 | Tokuda, Keiichi | |||||||||||||||||||
| 言語 | en | |||||||||||||||||||
| 姓名 | 徳田, 恵一 | |||||||||||||||||||
| 言語 | ja | |||||||||||||||||||
| 姓名 | トクダ, ケイイチ | |||||||||||||||||||
| 言語 | ja-Kana | |||||||||||||||||||
| 著者別名 | ||||||||||||||||||||
| 姓名 | 北村, 正 | |||||||||||||||||||
| 書誌情報 |
en : IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 巻 E86-A, 号 8, p. 1971-1978, 発行日 2003-08-01 |
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| 出版者 | ||||||||||||||||||||
| 出版者 | Institute of Electronics, Information and Communication Engineers | |||||||||||||||||||
| 言語 | en | |||||||||||||||||||
| ISSN | ||||||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||||||
| 収録物識別子 | 0916-8508 | |||||||||||||||||||
| item_10001_source_id_32 | ||||||||||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||||||||||
| 収録物識別子 | AA10826239 | |||||||||||||||||||
| 出版タイプ | ||||||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||||
| 内容記述 | ||||||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||||||
| 内容記述 | This paper defines a new kind of a mixture density model for modeling a quasi-stationary Gaussian process based on mel-cepstral representation. The conventional AR mixture density model can be applied to modeling a quasi-stationary Gaussian AR process. However, it cannot model spectral zeros. In contrast, the proposed model is based on a frequency-warped exponential (EX) model. Accordingly, it can represent spectral poles and zeros with equal weights, and, furthermore, the model spectrum has a high resolution at low frequencies. The parameter estimation algorithm for the proposed model was also derived based on an EM algorithm. Experimental results show that the proposed model has better performance than the AR mixture density model for modeling a frequency-warped EX process. | |||||||||||||||||||
| 言語 | en | |||||||||||||||||||
