A Method for Classifying Emotion of Text based on Emotional Dictionaries for Emotional Reading

F. Sugimoto, M. Yoneyama
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引用次数: 13

Abstract

Representing emotional expressions in text-to-speech synthesis is an interesting subject. The ultimate purpose of our research is to develop an automatic reading system which reads text aloud such as novels with emotion. Our strategy for constructing the system is that we classify the emotion of a text in perspective based on the distribution of emotional words, and classify the emotion of a sentence based on the emotion of nouns, adjectives or verbs composed in the sentence instead of understanding the meaning of the text, and synthesize speech using partially optimum prosodic parameters.
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基于情感词典的情感阅读文本情感分类方法
在文本-语音合成中表达情感是一个有趣的课题。我们研究的最终目的是开发一种自动阅读系统,它可以带着情感大声朗读小说等文本。我们构建系统的策略是,根据情感词的分布对文本进行情感分类,根据句子中组成的名词、形容词或动词的情感对句子进行情感分类,而不是理解文本的含义,并使用部分最优韵律参数合成语音。
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