Investigation of the Effects of Speech Signal Length on Vocal Disorder Sorting Done Via Dynamic Pattern Modeling

Mehdizadehfar Vida; Almasganj Farshad; Torabinezhad Farhad

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Investigation of the Effects of Speech Signal Length on Vocal Disorder Sorting Done Via Dynamic Pattern Modeling

机译：通过动态模式建模完成语音信号长度对声道分类的影响

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Objectives. Development of a noninvasive method for separating different vocal fold diseases is an important issue concerning vocal analysis. Due to the time variations along a pathologic vocal signal, application of dynamic pattern modeling tools is expected to help in the detection of defects that occur in the speech production mechanism.

机译：目标。发展一种非侵入性的方法来分离不同的声带疾病是声乐分析的一个重要问题。由于病理声音信号的时间变化，动态模式建模工具的应用有望帮助检测语音产生机制中出现的缺陷。

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《Journal of voice: official journal of the Voice Foundation》 |2017年第4期|共8页
作者
Mehdizadehfar Vida; Almasganj Farshad; Torabinezhad Farhad;
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作者单位

Amirkabir Univ Technol Fac Biomed Engn 424 Hafez Ave Tehran Iran;

Amirkabir Univ Technol Fac Biomed Engn 424 Hafez Ave Tehran Iran;

Iran Univ Med Sci Sch Rehabil Dept Speech therapy Tehran Iran;

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原文格式 PDF
正文语种 eng
中图分类喉科学、喉疾病;
关键词
Vocal disorder; Dynamic modeling; Hidden Markov model; Wavelet packet; Classification;

机译：发声障碍;动态建模;隐马尔可夫模型;小波包;分类;

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机译：通过动态模式建模完成语音信号长度对声道分类的影响
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Investigation of the Effects of Speech Signal Length on Vocal Disorder Sorting Done Via Dynamic Pattern Modeling

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