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Quantitative F0 pattern generation device and method, model learning device for F0 pattern generation, and computer program

机译:定量的f0模式生成装置和方法,用于f0模式生成的模型学习装置以及计算机程序

摘要

[Object] An object is to provide an F0 contour synthesizing device based on statistic model, to clarify correspondence between linguistic information and F0 contour while maintaining accuracy. [Solution] An HMM learning device includes: a parameter estimating unit representing an F0 contour 133 fitting a continuous F0 contour 132 as a sum of phrase components and accent components and estimating target points of these; and an HMM learning means conducting learning of HMM 139 using the fitted F0 contour as training data. The continuous F0 contour may be decomposed to accent components 134, phrase components 136 and micro-prosody components 138, and separate HMMs 140, 142 and 144 may be trained. Using results of text analysis, accent components, phrase components and micro-prosody components are separately synthesized from HMMs 140, 142 and 144 and the results are synthesized to obtain an F0 contour.
机译:[目的]提供一种基于统计模型的F0轮廓合成装置,以在保持精度的同时阐明语言信息与F0轮廓之间的对应关系。 [解决方案] HMM学习装置包括:参数估计单元,其表示拟合连续F0轮廓132的F0轮廓133作为短语成分和重音成分的总和并估计它们的目标点。 HMM学习意味着使用拟合的F0轮廓作为训练数据来进行HMM 139的学习。连续的F0轮廓可以分解为口音成分134,乐句成分136和微韵律成分138,并且可以训练单独的HMM 140、142和144。使用文本分析的结果,从HMM 140、142和144分别合成重音成分,短语成分和微韵律成分,然后合成结果以获得F0轮廓。

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