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Generation of Fundamental Frequency Contours for Thai Speech Synthesis using Tone Nucleus Model

机译:用音调模型生成泰式语音合成的基本频率轮廓

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As classic and intrinsic requirements, synthetic speech need to convey correct information with good quality of naturalness to listeners. Fundamental frequency (F_0) contours need to be controlled to meet these requirements. Additional challenges have been introduced to tonal languages because the F_0 contour reflects both intelligibility and naturalness of the speech. According to the fact that the F_0 contour in a syllable conveys information asymmetrically, Tone nucleus model has been successfully established. In this study, Tone nucleus model is applied in order to generate F_0 contours for Thai speech synthesis. This is among the first that has introduced the model to other tonal languages other than Mandarin. All tone nuclei for five distinctive tones are defined according to the underlying targets. The full process of F_0 contour generation is presented from the nucleus extraction until the F_0 contour generation for continuous speech. The efficiency and adaptability of the model in Thai language were confirmed by the objective and subjective tests. The model outperformed a baseline without applying the model. The generated F_0 contours showed less distortion, more tone intelligibility and more naturalness. The modified method is also introduced for enhancement. The results showed significant improvement on the generated F_0 contours.
机译:作为经典和内在要求,合成语音需要以良好的理性对听众传达正确的信息。需要控制基本频率(F_0)轮廓以满足这些要求。额外的挑战已经引入到音调语言,因为F_0轮廓反映了演讲的可懂度和自然性。根据音节在音节中的F_0轮廓不对称地传达信息的事实,已经成功建立了音调模型。在这项研究中,应用色调模型以产生用于泰语语音合成的F_0轮廓。这是第一个将模型引入到普通话之外的其他色调语言之一。根据潜在目标定义五种独特音调的所有音调核。 F_0轮廓生成的完整过程从核提取呈现为连续语音的F_0轮廓生成。目标和主观测试证实了泰语语言模型的效率和适应性。该模型表现出基线而不应用模型。生成的F_0轮廓显示出较少的失真,更大的音调和更自然。还引入了改进的方法以提高。结果表明产生的F_0轮廓有显着改善。

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