Automatic pathological voice evaluation based on auditory model | Zendy

Wang Di | Zendy; Qiang Fu | Zendy; Yang Lin | Zendy; Ping Yu | Zendy; Yan Yonghong | Zendy; Feng Ji | Zendy

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Automatic pathological voice evaluation based on auditory model

Author(s) -

Wang Di,

Qiang Fu,

Yang Lin,

Ping Yu,

Yan Yonghong,

Feng Ji

Publication year - 2008

Publication title -

acta physica sinica

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.

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