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Fujisaki's Model of Thai's Fundamental Frequency Contours with Environmental Noises

机译:带有环境噪声的泰国基本频率轮廓的藤崎模型

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Problem statement: An important human speech feature is the fundamental frequency (F0) contour which represents the speech prosody. It indicates the naturalness and intelligibility of the speech. Modeling of fundamental frequency contour was an essential procedure in the natural speech processing. In speech communication, environmental noise plays an essential role in damaging the digital communication quality. The study of effects of noises on modeling of F0 contour for standard Thai is conducted. Approach: The selected modeling technique in this study was adapted from Fujisaki's model, because of its achievement in modeling of various Thai speech units. Four types of environmental noises were recorded for different levels of power. This study was proposed an analysis of some parameters of modeling of Thai speech prosody for two genders and four types of noises. The derived Fujisaki's model was covered seven parameters including baseline frequency, the numbers of phrase commands and tone commands, phrase command and tone command durations, amplitudes of phrase command and tone command. Results: In the experimental results, the standard Thai of 2 samples of 5 sentences with 5 males and 5 females was used. Four types of noises include train, factory, car and air conditioner. Five levels of each type of noise were varied from 0-20 dB. The results were showing that the different noises give the distinguished effects for most of the proposed model parameters. Conclusion: The results confirm that the effects of four types of noises are significantly different. It can be seen that the environmental noises deteriorate the model parameters empirically.
机译:问题陈述:人类语音的重要特征是代表语音韵律的基频(F0)轮廓。它表明讲话的自然性和清晰度。基本频率轮廓的建模是自然语音处理中的必要步骤。在语音通信中,环境噪声在损害数字通信质量中起着至关重要的作用。进行了噪声对标准Thai的F0轮廓建模的影响的研究。方法:本研究中选择的建模技术是根据藤崎的模型改编的,因为它在各种泰国语音单元的建模方面取得了成就。记录了针对不同功率水平的四种类型的环境噪声。本研究提出了针对两种性别和四种类型的泰国语音韵律建模的一些参数分析。导出的藤崎模型覆盖了七个参数,包括基线频率,短语命令和音调命令的数量,短语命令和音调命令的持续时间,短语命令和音调命令的幅度。结果:在实验结果中,使用了标准的泰国语,其中包括5个句子的2个样本,其中5个男性和5个女性。四种噪声包括火车,工厂,汽车和空调噪声。每种噪声的五个级别在0-20 dB之间变化。结果表明,对于大多数建议的模型参数,不同的噪声给出了显着的效果。结论:结果证实,四种类型的噪声的影响显着不同。可以看出,环境噪声凭经验使模型参数恶化。

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