Spectrum analysis of vocalization application for voice pathology detection

O. G. Fetisova, D.V. Lamtyugin, V. Makukha, E. M. Voronin
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引用次数: 4

Abstract

In this paper we present an approach to identify pathological disorders of larynx using spectrum analysis of speech samples. The speech signal is subjected to spectrum analysis, and the harmonize coefficient is introduced to identify disorders. Distinctions between norm and pathology are observed concerning spectral component of a high-frequency and low-frequency range. Examples of application of this system for inspection of people with diseases of the voice device and healthy people, including -professional singers are presented.
发声频谱分析在语音病理检测中的应用
在本文中,我们提出了一种方法来识别病理障碍的喉部使用频谱分析的语音样本。对语音信号进行频谱分析,并引入谐波系数来识别障碍。正常和病理之间的区别是观察到有关频谱成分的高频和低频范围。介绍了该系统在语音设备疾病患者和健康人群(包括非专业歌手)检测中的应用实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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