首页> 外文会议>International Conference on Non-Linear Speech Processing(NOLISP 2005); 20050419-22; Barcelona(ES) >Modeling Fluctuations of Voiced Excitation for Speech Generation Based on Recursive Volterra Systems
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Modeling Fluctuations of Voiced Excitation for Speech Generation Based on Recursive Volterra Systems

机译:基于递归Volterra系统的语音产生中语音激励波动的建模

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For the modeling of the speech production system linear models are widely used. However, not all features of speech can be covered by linear systems. Therefore nonlinear systems are interesting in speech processing. In this contribution a time variable recursive Volterra system is used to model the fluctuations of the voiced excitation while a linear system models the resonances of the speech production system. The estimation of the Volterra system is performed by a prediction algorithm. The prediction problem is solved with the aid of an approximation by series expansion. Speech examples show that the use of a time variable Volterra system improves the naturalness of the synthetic speech.
机译:对于语音产生系统的建模,线性模型被广泛使用。但是,并非语音的所有特征都可以被线性系统覆盖。因此,非线性系统在语音处理中很有趣。在这种贡献中,时变递归Volterra系统用于建模发声激励的波动,而线性系统则建模语音产生系统的共振。 Volterra系统的估计由预测算法执行。借助于级数展开的近似来解决预测问题。语音示例表明,使用时变Volterra系统可以提高合成语音的自然度。

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