Title :
Disorder in the vocal tract and its detection from speech signal analysis
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, India
Abstract :
The results of analyzing the speech signals of two patients with dysarthria are presented. The magnitude of misarticulation is quantized, and the pitch period variability is calculated using a Fourier search filter. The latter is a fast Fourier transform algorithm which searches for a narrow range of frequencies in the spectrum. An attempt is made to identify the malfunctioning muscles/nerves in the vocal tract
Keywords :
patient diagnosis; speech analysis and processing; Fourier search filter; dysarthria patients; fast Fourier transform algorithm; malfunctioning muscles; malfunctioning nerves; misarticulation magnitude; pitch period variability; speech signal analysis; vocal tract disorder detection; Cepstrum; Cutoff frequency; Finite impulse response filter; Instruments; Low pass filters; Muscles; Sampling methods; Signal analysis; Speech analysis; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95922
