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Classification of Stressed Speech Using Physical Parameters Derived from Two-

机译:使用源自衍生的物理参数的压力言论分类

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In this study, we investigate physical parameters which can be used to classify speech as either stressed or neutral based on a two-mass vocal fold model. The model attempts to characterize the behavior of the vocal folds and fluid airflow properties when stress is present. The two-mass model is fitted to real speech to estimate the values of physical parameters that represent the stiffness of vocal folds, vocal fold viscosity loss, and subglottal pressure coming from the lungs. The estimated parameters can be used to distinguish stressed speech from neutral speech because these parameters can represent the mechanisms of vocal folds under stress. We propose combinations of physical parameters as features for classification. Experimental results show that our proposed features achieved better classification performance than features derived from traditional methods.
机译:在这项研究中,我们调查了可用于将语音分类为基于双质量声带模型的压力或中性的物理参数。该模型试图在存在应力时表征声带和流体气流性能的行为。两个质量模型适用于实际语音,以估计代表声带抗损失,声带粘度损失和来自肺部的脱底压力的物理参数的值。估计的参数可用于区分从中立语音的压力语音,因为这些参数可以代表应力下的声带的机制。我们建议物理参数的组合作为分类的特征。实验结果表明,我们提出的特征比传统方法衍生的特征实现了更好的分类性能。

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