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Long-Term Average Spectral (LTAS) Measures of Dysarthria and Their Relationship to Perceived Severity

机译:构音障碍的长期平均光谱(LTAS)量度及其与感知严重度的关系

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This study investigated the relationship between measures of Long-Term Average Spectrum (LTAS) for speakers with Parkinson's disease (PD) and Multiple Sclerosis (MS) and scaled estimates of perceived speech severity. Perceived severity was operationally defined as listeners' overall impression of voice, resonance, articulatory precision, and prosody without regard to intelligibility. Healthy control talkers were also studied. Speakers were audio recorded while reading Harvard Sentences and the Grandfather Passage. Using TF32 (Milenkovic, 2005), the LTAS was computed for sentences. Coefficients of the first four moments were used to characterize energy across the speech spectrum. Supplemental acoustic measures of articulatory rate, vocal intensity, and fundamental frequency also were obtained. Three speech-language pathologists scaled speech severity for the reading passages. Results indicated no group differences in acoustic measures. The absolute magnitude of correlations between LTAS moment coefficients and perceptual estimates of scaled severity within and across speaker groups ranged from .16 to .53, with the strongest correlations for the PD group. These results suggest that the LTAS may prove useful in conjunction with perceptual judgments to document speech spectral changes related to treatment or disease progression. Findings further suggest that different acoustic models of severity are likely needed for dysarthria secondary to PD and dysarthria secondary to MS.
机译:这项研究调查了患有帕金森氏病(PD)和多发性硬化症(MS)的说话人的长期平均频谱(LTAS)度量与感知语音严重程度的缩放估计之间的关系。感知的严重程度在操作上被定义为听者对语音,共鸣,发音精确度和韵律的总体印象,而与清晰度无关。还对健康对照说话者进行了研究。在阅读哈佛句子和祖父段落时,会为演讲者录制音频。使用TF32(Milenkovic,2005年),对句子计算LTAS。前四个时刻的系数用于表征整个语音频谱的能量。还获得了补充的声学指标,包括发音率,声音强度和基频。三位言语病理学家确定了阅读段落的言语严重程度。结果表明在声学测量方面没有组差异。说话者组内和之间的LTAS矩系数与缩放严重性的感知估计之间的绝对相关性范围为.16至.53,其中PD组的相关性最强。这些结果表明,LTAS可以结合感知判断来证明与治疗或疾病进展相关的语音频谱变化,非常有用。研究结果进一步表明,继发于PD的构音障碍和继发于MS的构音障碍可能需要不同的严重性声学模型。

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