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A Novel Algorithm of Co-articulation Emotional Chinese Speech Synthesis Based on TD-PSOLA

机译:一种基于TD-PSOLA的联合关节情绪汉语语音合成的新型算法

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Speech synthesis technologies are the foundation of phonetic human-machine interaction.The tendency in the future development of speech synthesis technologies is how to further improve expressive ability of the machine synthesized speech and imitate the speakers' emotive state,which is still a difficult problem in the research field.In this paper,TD-PSOLA,based on decomposing the spectrum of speech signal,was used to deal with the co-articulation phenomenon in the syllable junction of speech synthesis,and those emotional parameters of speech synthesis were analyzed.CECTD-PSOLA,which is an algorithm of Co-articulation Emotional Chinese Speech Synthesis based on decomposing the spectrum of speech signal,was proposed in this paper.The co-articulation phenomenon between syllables,and emotional factors contained in speech was considered in the CECTD-PSOLA.The experimental results show that the algorithm could better increase naturalness and emotion of Chinese speech synthesis.
机译:语音合成技术是语音人机相互作用的基础。语音合成技术的未来发展的趋势是如何进一步提高机器综合演讲的表现力,并模仿扬声器的情绪状态,这仍然是一个艰难的问题研究领域。在本文中,基于分解语音信号的谱来处理语音合成的音节结合的共关节现象,分析了语音合成的那些情绪参数.Cectd在本文中提出了一种基于分解语音信号的分解信号的共同关注情绪中文语音合成的算法。在Cectd-中考虑了音节和演讲中包含的情绪因素的共关节现象。 PSOLA。实验结果表明,该算法可以更好地增加汉语语音合成的自然和情感。

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