A computer system for acoustic analysis of pathological voices and laryngeal diseases screening.
A system for acoustic analysis of pathological voices is proposed. The vocalized part of the voice signal is separated and all glottal cycles are traced by means of a cross-correlation detector. Based on the so determined beginning and duration of all glottal cycles, shimmer, jitter, several harmonics-to-noise ratios and other widely used acoustic parameters are calculated. New parameters are also introduced for estimation of the turbulent noise in voice signals (Turbulent Noise Index - TNI) and for the "breathy" voice characterization (Normalized First Harmonic Energy - NFHE). These parameters are applied for laryngeal pathology detection. An identification accuracy of 96.1% by the K-nearest neighbors' method has been achieved. The system is clinically tested.
Hadjitodorov
Stefan
S
Center on Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str. Bl.105, 1113 Sofia, Bulgaria. sthadj@argo.bas.bg
Mitev
Petar
P
D000465:Algorithms; D005260:Female; D005583:Fourier Analysis; D005931:Glottis / Q000503:physiopathology*; D006801:Humans; D008297:Male; D008403:Mass Screening / Q000379:methods; D008954:Models, Biological; D015233:Models, Statistical; D009622:Noise; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013061:Speech Acoustics; D013068:Speech Production Measurement; D013269:Stochastic Processes; D014831:Voice; D014832:Voice Disorders / Q000145:classification / Q000175:diagnosis*; D014833:Voice Quality