Ogut F, Yavuzer A, Kalayci T, Kirazli T
Ege Universitesi, Tip Fakultesi, ENT Department, Izmir, Turquie.
Rev Laryngol Otol Rhinol (Bord). 1999;120(2):115-6.
Spectral analysis of the human voice is a frequently used digital analysis method in the diagnosis, the planning and follow-up of the treatment of speech disorders. In the classical spectral analysis method, the principals of Joseph Fourier are used. This is called "Fourier Transform" and it accepts that all signals are formed of the synthesis of many sinusoïdal formed signals. In recent years a new transform method called "wavelet transform" accepts the complex signals formed of small signal particles called "wavelets" and it is considered that this transform will solve the documented problems of the "Fourier Transform". By using the appropriate wavelet, this transform can be used as an alternative to the Fourier transform. In this study, the patients with an articulation disorder of the "s" sound were evaluated before and after the phoniatric reeducation by using both the transform methods, and the results obtained are discussed.
人类语音的频谱分析是语音障碍诊断、治疗规划及随访中常用的数字分析方法。在经典频谱分析方法中，运用了约瑟夫·傅里叶的原理。这被称为“傅里叶变换”，它认为所有信号都是由许多正弦形式信号合成而成。近年来，一种名为“小波变换”的新变换方法，接受由被称为“小波”的小信号粒子构成的复杂信号，并且人们认为这种变换将解决“傅里叶变换”中记录的问题。通过使用合适的小波，这种变换可以用作傅里叶变换的替代方法。在本研究中，使用这两种变换方法对患有“s”音发音障碍的患者进行了语音康复训练前后的评估，并对所得结果进行了讨论。
