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首页> 外文会议>International Conference on Spoken Language Processing; 20041004-08; Jeju(KR) >Long Term Modeling of Phase Trajectories within the Speech Sinusoidal Model Framework
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Long Term Modeling of Phase Trajectories within the Speech Sinusoidal Model Framework

机译：语音正弦模型框架内相位轨迹的长期建模

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摘要

In this paper, the problem of modeling the trajectory of the phase of speech signal is addressed within the context of the sinusoidal model of speech. A global or long-term model of the trajectory of the phase of the partials is proposed for each entire voiced section of speech, contrary to standard models, which are defined on a frame-by-frame basis. The complete analysis-modeling-synthesis process is presented. We compare two basic long-term models, namely a polynomial and a DCT-based model, with classical (frame-by-frame) interpolation schemes, given that the analysis process is the same in all cases. Promising results are given and the interest of the presented models for speech coding and speech watermarking applications is discussed.
机译：在本文中，在语音正弦模型的背景下解决了对语音信号相位轨迹建模的问题。与语音模型的逐帧定义的标准模型相反，针对语音的每个浊音部分，提出了部分相位轨迹的全局或长期模型。提出了完整的分析-建模-合成过程。假设分析过程在所有情况下都相同，我们将两个基本的长期模型（即多项式和基于DCT的模型）与经典（逐帧）插值方案进行比较。给出了有希望的结果，并讨论了所提出的模型用于语音编码和语音水印应用的兴趣。

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