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On the Contribution of Articulatory Features to Speech Synthesis

机译:发音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:有几种功能可用于单位选择语音合成。在计算级联成本中最常用的是能量,F_0和梅尔频率倒谱系数(MFCC),通常可以很好地描述语音信号。在我们的工作中,我们专注于发音特征的使用。我们要确定它们是否与MFCC相关,在这种情况下,是否可以代替MFCC或将新信息带入语音合成过程。为了获得发音数据,我们使用了电磁关节描记器AG501,然后我们检查了由不同功能描述的两个连接费用序列的相关性。

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