首页> 外文会议>International conference on signal processing;ICSP'96 >AUTOMATIC PARAMETER EXTRACTION OF FUNDAMENTAL FREQUENCY CONTOURS OF SPEECH BASED ON A GENERATIVE MODEL
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AUTOMATIC PARAMETER EXTRACTION OF FUNDAMENTAL FREQUENCY CONTOURS OF SPEECH BASED ON A GENERATIVE MODEL

机译:基于生成模型的语音基本频率参数自动提取

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The process of generating an F_0 contour from a small number of linguistically meaningful parameters, has been modeled quite accurately, and the model has been used extensively in speech synthesis. The present paper deals with the inverse problem, i.e., that of extracting the model parameters from a given contour, which can only be solved by successive approximation. This paper presents a method for deriving a first-order approximation to a given F_0 contour from the linguistic information of the utterance, and refining the approximation by Analysis-by-Synthesis. The validity of the method has been confirmed experimentally.
机译:从少量的语言有意义的参数生成F_0轮廓的过程已经非常精确地建模,并且该模型已在语音合成中得到广泛使用。本文处理反问题,即从给定轮廓提取模型参数的问题,这只能通过逐次逼近来解决。本文提出了一种方法,可以从发声的语言信息中得出给定F_0轮廓的一阶近似值,并通过“综合分析”细化近似值。该方法的有效性已通过实验证实。

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