Mixture Density Models Based on Mel-Cepstral Representation of Gaussian Process(<Special Section>Digital Signal Processing)
スポンサーリンク
概要
- 論文の詳細を見る
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.
- 社団法人電子情報通信学会の論文
- 2003-08-01
著者
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TAKAHASHI Toru
Department of Pediatrics, Hirosaki University School of Medicine
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Kobayashi Takao
Department of Electrical Engineering, Faculty of Engineering, Fukui University
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Tokuda K
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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KITAMURA Tadashi
Department of Computer Science and Engineering, Nagoya Institute of Technology
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KOBAYASHI Takao
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
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Kobayashi Takao
Tokyo Inst. Technol. Yokohama‐shi Jpn
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Tokuda Keiichi
The Department Of Computer Science Nagoya Institute Of Technology
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Kobayashi T
Interdisciplinary Graduate School Of Science And Engineering Tokyo Institute Of Technology
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TOKUDA Keiichi
Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
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Takahashi Toru
Department Of Hematology And Gastroenterology Caress Alliance Tenshi Hospital
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Kitamura Tadashi
Department Of Computer Science And Engineering Nagoya Institute Of Technology
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Kitamura Tadashi
Department Of Cardiothoracic Surgery The University Of Tokyo
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Kobayashi Takao
Department Of Bioregulatory Function Graduate School Of Medicine The University Of Tokyo
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Tokuda Keiichi
Department Of Computer Science Naogya Institute Of Technology
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Kitamura Tadashi
Department Of Cardiothoracic Surgery Faculty Of Medicine University Of Tokyo
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Takahashi Toru
Department Of Cardiovascular Medicine University Of Tokyo
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Takahashi Toru
Department Of Electrical And Electronic Engineering Nagoya Institute Of Technology
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Takahashi Toru
Department Of Anatomy Gifu University School Of Medicine
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Kobayashi Takao
Department Of Obstetrics And Gynecology Hamamatsu University School Of Medicine
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- FOREWORD