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首页> 外文期刊>American journal of applied sciences >A Control of Fundamental Frequency Contour for Hidden Markov Model-Based Thai Speech Synthesis
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A Control of Fundamental Frequency Contour for Hidden Markov Model-Based Thai Speech Synthesis

机译:基于隐马尔可夫模型的泰语语音合成的基本频率轮廓控制

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Problem statement: In the conventional HMM-based speech synthesis system for Thai, there is no control of fundamental frequency control in the synthesis stage. The tone correctness of the synthesized speech is unacceptable due to the imbalance of training data of all tones. Approach: This study proposes a mathematical model to control the F_0 contour of the synthesized speech. This control is proposed to correct only some distorted segments of the Fo contour which occur within some syllables due to lacking of training data for some tones. Results: An experimental result compares F_0 contours between those of synthesized speech with and without tone-type questions; furthermore the size of Thai speech corpus is varied to investigate the synthesized speech quality. A mathematical model is applied to control the F_0 contour. By using the proposed control, the correction of the F_0 contour is obviously shown in the experimental results. Conclusion: The control of F_0 contour has been proposed. It can noticeably improve the tone correctness of the synthesized speech.
机译:问题陈述:在传统的基于泰文的基于HMM的语音合成系统中,在合成阶段没有对基本频率控制的控制。由于所有音调的训练数据不平衡,因此合成语音的音调正确性是不可接受的。方法:这项研究提出了一个数学模型来控制合成语音的F_0轮廓。提出该控制是为了仅校正由于缺少针对某些音调的训练数据而在某些音节内出现的Fo轮廓的一些失真的片段。结果:实验结果比较了有无音调型问题的合成语音的F_0等高线;此外,泰国语音语料库的大小也有所不同,以研究合成语音的质量。应用数学模型来控制F_0轮廓。通过使用所提出的控制,F_0轮廓的校正明显显示在实验结果中。结论:已经提出了控制F_0轮廓的方法。它可以显着提高合成语音的音调正确性。

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