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首页> 外文会议>International Speech Communication Association >Assigning Suitable Phrasal Tones and Pitch Accents by Sensing Affective Information from Text to Synthesize Human-like Speech
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Assigning Suitable Phrasal Tones and Pitch Accents by Sensing Affective Information from Text to Synthesize Human-like Speech

机译：通过从文本中传感情感信息来分配合适的短语音调和俯仰口音，以综合人类的语音

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摘要

We have carried out several perceptual and objective experiments that show that the present Text-To-Speech (TTS) systems are weak in the relevance of prosody and segmental spectrum in the characterization and expression of emotions. Since it is known that the emotional state of a speaker usually alters the way s/he speaks, the TTS systems need to be improved to generate human-like pitch accents to express the subtle features of emotions. This paper describes a pitch accent assignment technique which places appropriate pitch accents on elements of the utterance that require particular emphasis or stress. Our pitch accenting technique utilizes commonsense knowledge-base and a linguistic tool to recognize emotion conveyed though the text itself. From these it determines whether the content of the utterance has a connotation to a particular emotion (e.g., happy, sad, surprise etc.), good or bad concepts, praiseworthy or blameworthy actions, common or vital information. It can then assign an appropriate pitch accent to one word in each prosodic phrase. The TTS component then determines the appropriate syllable to be accented in the word. Our approach can well support a TTS system's synthesis, allowing the system to generate affective version of the spoken text.
机译：我们已经进行了多次的感性和客观的实验，显示本文本到语音转换（TTS）系统在韵律和节段频谱的表征和情感表达的相关性较弱。因为众所周知，扬声器的情绪状态，通常改变了方式，他/她说话时，系统需要改进的TTS产生类似人类的高低口音表达情感的细微特征。本文介绍一种音高重音分配技术，它放在需要特别强调或强调话语的内容适当高低口音。我们间距重音技术利用常识性的知识基础，并承认情绪的语言工具传送通过文本本身。从这些它决定了话语的内容是否有内涵，一个特别的情感（如高兴，悲伤，惊讶等），或好或坏的概念，值得称道的或应受责备的行动，共同或重要信息。然后，它可以在每个韵律短语指定适当的间距口音一个字。的TTS组件然后确定合适的音节在单词被重音。我们的方法可以很好地支持TTS系统的合成，使系统产生的语音文本的情感版本。

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