Mixture Density Models Based on Mel-Cepstral Representation of Gaussian Process(Digital Signal Processing)

元データ 2003-08-01 社団法人電子情報通信学会

概要

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.

著者

TAKAHASHI Toru Department of Pediatrics, Hirosaki University School of Medicine
Kobayashi Takao Department of Electrical Engineering, Faculty of Engineering, Fukui University
Tokuda K Department Of Computer Science And Engineering Nagoya Institute Of Technology
KITAMURA Tadashi Department of Computer Science and Engineering, Nagoya Institute of Technology
KOBAYASHI Takao Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
Kobayashi Takao Tokyo Inst. Technol. Yokohama‐shi Jpn
Tokuda Keiichi The Department Of Computer Science Nagoya Institute Of Technology
Kobayashi T Interdisciplinary Graduate School Of Science And Engineering Tokyo Institute Of Technology
TOKUDA Keiichi Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
Takahashi Toru Department Of Hematology And Gastroenterology Caress Alliance Tenshi Hospital
Kitamura Tadashi Department Of Computer Science And Engineering Nagoya Institute Of Technology
Kitamura Tadashi Department Of Cardiothoracic Surgery The University Of Tokyo
Kobayashi Takao Department Of Bioregulatory Function Graduate School Of Medicine The University Of Tokyo
Tokuda Keiichi Department Of Computer Science Naogya Institute Of Technology
Kitamura Tadashi Department Of Cardiothoracic Surgery Faculty Of Medicine University Of Tokyo
Takahashi Toru Department Of Cardiovascular Medicine University Of Tokyo
Takahashi Toru Department Of Electrical And Electronic Engineering Nagoya Institute Of Technology
Takahashi Toru Department Of Anatomy Gifu University School Of Medicine
Kobayashi Takao Department Of Obstetrics And Gynecology Hamamatsu University School Of Medicine

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