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On the Contribution of Articulatory Features to Speech Synthesis

机译:论铰接特征对语音合成的贡献

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There are several features that are used for the unit selection speech synthesis. Among the most used for computing a concatenation cost are energy, F_0 and Mel-frequency cepstrum coefficients (MFCC) that usually give a good description of a speech signal. In our work, we focus on a usage of articulatory features. We want to determine whether they are correlated with MFCC and in that case, if they can replace MFCC or bring a new information into the process of speech synthesis. To obtain the articulatory data, we used electromagnetic articulograph AG501 and then we examined the correlation of two sequences of join costs each described by different features.
机译:有几个功能用于单位选择语音合成。用于计算级联成本的最多用于能量,F_0和熔融频率谱系数(MFCC),其通常给出语音信号的良好描述。在我们的工作中,我们专注于晰理特征的使用。我们希望确定它们是否与MFCC相关,在这种情况下,如果它们可以替换MFCC或将新信息带入语音合成过程中。为了获得明晰度数据,我们使用电磁关节仪AG501,然后我们检查了两个加入成本的两个序列的相关性,每个连接成本各自描述了不同的特征。

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