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首页> 外文会议>International conference on universal access in human-computer interaction;International conference on human-computer interaction >Emotional Prosodic Model Evaluation for Greek Expressive Text-to-Speech Synthesis
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Emotional Prosodic Model Evaluation for Greek Expressive Text-to-Speech Synthesis

机译：情绪韵律模型评估的希腊富有表现力的文本到语音合成

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In this study we introduce a novel experimental approach towards the evaluation of emotional prosodic models in Expressive Speech Synthesis. It is based on the dimensional emotion expressivity and adopts the Self-Assessment Manikin Test. We applied this experimental approach to evaluate an emotional prosodic model for Greek expressive Text-to-Speech synthesis. We used two pseudo-sentences for each of the Greek and English HMM-based synthetic voices, implemented in the MARY TtS platform. Fifteen native Greek participants were asked to assess eleven emotional states for each sentence. The results show that the "Arousal" dimension is perceived as intended, followed by the "Pleasure" and "Dominance" dimensions' ratings. These preliminary findings are consistent with the results in previous studies.
机译：在这项研究中，我们介绍了一种新颖的实验方法，用于评估表达性语音合成中的情绪韵律模型。它基于维度情感表达，并采用了自我评估人体模型测试。我们应用了这种实验性方法来评估希腊表达文本到语音合成的情感韵律模型。对于在MARY TtS平台中实现的基于希腊语和英语HMM的合成语音，我们分别使用了两个伪句。 15名希腊土著参与者被要求评估每个句子的11种情绪状态。结果表明，“ Arousal”维度被认为是预期的，其次是“ Pleasure”和“ Dominance”维度的等级。这些初步发现与以前的研究结果一致。

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