The wavelet transform in the time-frequency analysis of patients with articulation disorders
Küçük Resim Yok
Tarih
1999
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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 sinusoidal 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.
Açıklama
Anahtar Kelimeler
Vocal analysis
Kaynak
Revue de Laryngologie Otologie Rhinologie
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
120
Sayı
2
