Improving Reliability and Accuracy of Vibration Parameters of Vocal Folds Based on High-Speed Video and Electroglottography
Improving Reliability and Accuracy of Vibration Parameters of Vocal Folds Based on High-Speed Video and Electroglottography
复制标题
基于高速视频和电声门成像技术提高声带振动参数的可靠性和准确性
DOI：
10.1109/tbme.2009.2015772
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发表时间：
2009-06-01
影响因子：
4.6
通讯作者：
Wan, Mingxi
中科院分区：
文献类型：
--
作者：
Qin, Xulei;Wang, Supin;Wan, Mingxi
定量化的声带振动参数，包括直接从高速视频（HSV）和电声门图（EGG）中提取的参数，以及基于模型的参数反演，可以准确描述发声机制，并可用于临床异常分类。为了提高这些参数的可靠性和准确性，本文提出了一种基于集成记录系统的方法。该系统包括HSV和EGG两部分，可同时记录声带振动信息。针对HSV记录的声门图像序列，提出了一种基于Zernike矩算子和改进的水平集算法的声门边缘检测方法。本文还介绍了一种针对EGG数据提取三种特殊振动时刻特征点的方法。最后，根据这些参数合成的实验振动行为和双质量模型的仿真结果，用遗传算法优化声带的逆参数。正常发声实验结果表明，该方法提取的参数比以往仅基于HSV数据和像素级处理方法提取的参数更准确、可靠。
Quantified vibration parameters of vocal folds, including parameters directly extracted from high-speed video (HSV) and electroglottography (EGG), and inverse parameters based on models, can accurately describe the mechanism of phonation and also classify the abnormal in clinics. In order to improve the reliability and accuracy of these parameters, this paper provides a method based on an integrated recording system. This system includes two parts: HSV and EGG, which can record vibration information of vocal folds simultaneously. An image processing approach that bases on Zernike moments operator and an improved level set algorithm is proposed to detect glottal edges at subpixel-level aiming at image series recorded by HSV. An approach is also introduced for EGG data to extract three kinds of characteristic points for special vibration instants. Finally, inverse parameters of vocal folds can be optimized by a genetic algorithm based on the experimental vibration behaviors synthesized with these parameters and the simulations of a two-mass model. The results of a normal phonation experiment indicate that the parameters extracted by this method are more accurate and reliable than those extracted by general methods, which were only on the basis of HSV data and with pixel-level processing approaches in former studies.