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一种用于声学区分病理性嗓音的声道特征研究。

An investigation of vocal tract characteristics for acoustic discrimination of pathological voices.

机构信息

Department of Electrical and Electronic Engineering, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul 120-749, Republic of Korea.

出版信息

Biomed Res Int. 2013;2013:758731. doi: 10.1155/2013/758731. Epub 2013 Oct 31.

Abstract

This paper investigates the effectiveness of measures related to vocal tract characteristics in classifying normal and pathological speech. Unlike conventional approaches that mainly focus on features related to the vocal source, vocal tract characteristics are examined to determine if interaction effects between vocal folds and the vocal tract can be used to detect pathological speech. Especially, this paper examines features related to formant frequencies to see if vocal tract characteristics are affected by the nature of the vocal fold-related pathology. To test this hypothesis, stationary fragments of vowel /aa/ produced by 223 normal subjects, 472 vocal fold polyp subjects, and 195 unilateral vocal cord paralysis subjects are analyzed. Based on the acoustic-articulatory relationships, phonation for pathological subjects is found to be associated with measures correlated with a raised tongue body or an advanced tongue root. Vocal tract-related features are also found to be statistically significant from the Kruskal-Wallis test in distinguishing normal and pathological speech. Classification results demonstrate that combining the formant measurements with vocal fold-related features results in improved performance in differentiating vocal pathologies including vocal polyps and unilateral vocal cord paralysis, which suggests that measures related to vocal tract characteristics may provide additional information in diagnosing vocal disorders.

摘要

本文研究了与声道特征相关的措施在正常和病理语音分类中的有效性。与主要关注声源相关特征的传统方法不同,本文研究了声道特征,以确定声带和声道之间的相互作用是否可以用于检测病理语音。特别是,本文研究了与共振峰频率相关的特征,以观察声道特征是否受到与声带相关病变性质的影响。为了验证这一假设,对 223 名正常受试者、472 名声带息肉受试者和 195 名单侧声带麻痹受试者发出的元音/a/的静止片段进行了分析。基于声学-发音的关系,发现病理受试者的发音与与舌体抬高或舌根前移相关的测量值有关。Kruskal-Wallis 检验还发现,声道相关特征在区分正常和病理语音方面具有统计学意义。分类结果表明,将共振峰测量值与声带相关特征相结合,可提高区分包括声带息肉和单侧声带麻痹在内的各种声门疾病的性能,这表明与声道特征相关的测量值可能为诊断嗓音障碍提供额外信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0da/3832970/f25e0e64a9df/BMRI2013-758731.001.jpg

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