Modeling speech signals in the time-frequency domain using GARCH

被引：21
|
作者：
Cohen, I [1 ]
机构：
[1] Technion Israel Inst Technol, Dept Elect Engn, IL-32000 Haifa, Israel
来源：
SIGNAL PROCESSING | 2004年 / 84卷 / 12期
关键词：
speech modeling; time-frequency analysis; GARCH;
D O I：
10.1016/j.sigpro.2004.09.001
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we introduce a novel modeling approach for speech signals in the short-time Fourier transform (STFT) domain. We define the conditional variance of the STFT expansion coefficients, and model the one-frame-ahead conditional variance as a generalized autoregressive conditional heteroscedasticity (GARCH) process. The proposed approach offers a reasonable model on which to base the estimation of the variances of the STFT expansion coefficients, while taking into consideration their heavy-tailed distribution. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码：2453 / 2459
页数：7
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