Bhuta Tarika, Patrick Linda, Garnett James D
Department of Otolaryngology, West Virginia University School of Medicine, Morgantown, WV 26506-9200, USA.
J Voice. 2004 Sep;18(3):299-304. doi: 10.1016/j.jvoice.2003.12.004.
To determine whether a correlation exists between the Grade, Roughness, Breathiness, Aesthenia, Strain (GRBAS) scale (a subjective measure of voice) and the Multi-Dimensional Voice Program (MDVP) scale (an objective measure of voice). A retrospective review of 37 voice patients (12 male/25 female) was conducted. Each voice was perceptually evaluated using the GRBAS scale by an experienced speech pathologist and acoustically analyzed using the MDVP scale. Statistical analysis using a multivariate regression model identified a significant correlation between the noise-related parameters of MDVP and the components of the GRBAS scale. Grade correlated with voice turbulence index (VTI), noise harmonic ratio (NHR), and soft phonation index (SPI). Roughness correlated with NHR only. Breathiness correlated with SPI only. Aesthenia also correlated with SPI only. Of the 19 acoustic variables measured by the MDVP system, only three noise parameters significantly correlated with the GRBAS perceptual voice analysis. Perhaps "noise" is the perceived acoustical quality of the dysphonic voice. A voice quantifying measure such as a "voice index score" could be proposed using the GRBAS scoring and the three clinically relevant MDVP values following further studies.
确定嗓音主观测量指标GRBAS量表(包括分级、粗糙度、气息声、无力感、紧张度)与嗓音客观测量指标多维嗓音程序(MDVP)量表之间是否存在相关性。对37例嗓音患者(12例男性/25例女性)进行了回顾性研究。由经验丰富的言语病理学家使用GRBAS量表对每个嗓音进行感知评估,并使用MDVP量表进行声学分析。使用多元回归模型进行统计分析,结果显示MDVP的噪声相关参数与GRBAS量表各组成部分之间存在显著相关性。分级与嗓音湍流指数(VTI)、噪声谐波比(NHR)和软起音指数(SPI)相关。粗糙度仅与NHR相关。气息声仅与SPI相关。无力感也仅与SPI相关。在MDVP系统测量的19个声学变量中,只有三个噪声参数与GRBAS嗓音感知分析显著相关。或许“噪声”是嗓音障碍患者嗓音的声学感知质量。进一步研究后,可根据GRBAS评分和三个临床相关的MDVP值提出一种如“嗓音指数评分”的嗓音量化测量方法。