A study on speech diversification techniques based on corpus design for advanced humanoid speech synthesis

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Our goal in this research is to realize more human-like, natural text-to-speech system with various emotional expressions and speaking styles, and the achievements of our studies are as follows:(1)We proposed a novel corpus-design technique in which accent, style, and sentence-final expression are taken into account. (2)We incorporated user's subjective emotional intensities into acoustic model training to improve the performance of expressive speech synthesis. (3)We proposed an automatic labeling technique of emphasis expression using a parameter generation technique of fundamental frequency to realize emphatic speech synthesis. (4)We proposed cross-lingual speech synthesis using only a target speaker's native language speech samples to synthesis multi-lingual speech at a low cost.