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Please use this identifier to cite or link to this item: http://hdl.handle.net/10061/7794

Title: Probability Distribution of Time-Series of Speech Spectral Components
Authors: Rajkishore Prasad
Hiroshi Saruwatari
Kiyohiro Shikano
Keywords: probabilistic modeling
spectral components of speech
microphone-array
GGD
FDICA
Issue Date: Mar-2004
Publisher: 電子情報通信学会
Journal Title: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume: E87-A
Issue: 3
Start page: 584
End page: 597
Abstract: This paper deals with the statistical modeling of a Time-Frequency Series of Speech (TFSS), obtained by Short-Time Fourier Transform (STFT) analysis of the speech signal picked up by a linear microphone array with two elements. We have attempted to find closer match between the distribution of the TFSS and theoretical distributions like Laplacian Distribution (LD), Gaussian Distribution (GD) and Generalized Gaussian Distribution (GGD) with parameters estimated from the TFSS data. It has been found that GGD provides the best models for real part, imaginary part and polar magnitudes of the time-series of the spectral components. The distribution of the polar magnitude is closer to LD than that of the real and imaginary parts. The distributions of the real and imaginary parts of TFSS correspond to strongly LD. The phase of the TFSS has been found uniformly distributed. The use of GGD based model as PDF in the fixed-point Frequency Domain Independent Component Analysis (FDICA) provides better separation performance and improves convergence speed significantly.
URI: http://hdl.handle.net/10061/7794
URL: https://search.ieice.org/
Fulltext: http://ci.nii.ac.jp/naid/110003212933
ISSN: 0916-8508
Rights: Copyright (C) 2004 電子情報通信学会.
Text Version: publisher
Appears in Collections:情報科学研究科 / Graduate School of Information Science

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