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首页> 外文会议>2014 17th Oriental Chapter of the International Committee for the Co-ordination and Standardization of Speech Databases and Assessment Techniques >Toward relaying an affective Speech-to-Speech translator: Cross-language perception of emotional state represented by emotion dimensions
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Toward relaying an affective Speech-to-Speech translator: Cross-language perception of emotional state represented by emotion dimensions

机译：传递情感的语音到语音翻译：情感维度代表的情感状态的跨语言感知

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摘要

Affective speech-to-speech translation (S2ST) is to preserve the affective state conveyed in the speaker's message. The ultimate goal of this study is to construct an affective S2ST system that has the ability to transform the emotional states of a spoken utterance from one language to another language. A universal automatic speech-emotion-recognition system is required to detect emotional state regardless of language. Therefore, this study investigates commonalities and differences of emotion perception across multi-languages. Thirty subjects from three countries, Japan, China and Vietnam, evaluate three emotional speech databases, Japanese, Chinese and German, in valence-activation space. The results reveal that directions from neutral to other emotions are similar among subjects groups. However, the estimated degree of emotional state depend on the expressed emotional styles. Moreover, neutral positions were significantly different among subjects groups. Thus, directions and distances from neutral to other emotions could be adopted as features to recognize emotional states for multi-languages.
机译：情感语音转换（S2ST）是为了保留说话人消息中传达的情感状态。这项研究的最终目标是构建一种情感S2ST系统，该系统具有将口头表达的情感状态从一种语言转换为另一种语言的能力。需要通用的自动语音-情绪-识别系统来检测情绪状态，而与语言无关。因此，本研究调查了跨语言的情感感知的共性和差异。来自三个国家（日本，中国和越南）的30个主题在价态激活空间中评估了三个情感语音数据库（日语，中文和德语）。结果表明，受试者群体中从中性情绪到其他情绪的方向相似。但是，情绪状态的估计程度取决于所表达的情绪样式。此外，受试者组之间的中立位置显着不同。因此，可以采用从中性到其他情感的方向和距离作为识别多国语言情感状态的特征。

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