Open AccessAutomatic pathological voice evaluation based on auditory model
Author(s) -
Di Wang,
Qiang Fu,
Yuxin Lin,
Ping Yu,
Yiming Yan,
Jing Feng
Publication year - 2008
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.57.4244
Subject(s) - computer science , fast fourier transform , vowel , speech recognition , frequency domain , stability (learning theory) , sample (material) , domain (mathematical analysis) , algorithm , mathematics , computer vision , machine learning , mathematical analysis , chemistry , chromatography
Sustained vowel analysis is an important method in pathological voice evaluation system. In view of the fact that conventional methods generally analyzes the hand-cut samples in FFT frequency domain, an auditory model is proposed as an accurate and robust method for use in pathological vowel analysis. An automatic sample cutting method increases the stability of analysis. Expertiment showed this method is more effective and robust.