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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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摘要

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。 开发不同声带疾病分离的非侵入性方法是有关声乐分析的重要问题。 由于沿着病理声音信号的时间变化,预计动态模式建模工具的应用有助于检测语音生产机制中发生的缺陷。

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