Abstract：
: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.
journal_name
Med Eng Physjournal_title
Medical engineering & physicsauthors
Hadjitodorov S,Mitev Pdoi
10.1016/s1350-4533(02)00031-0subject
Has Abstractpub_date
2002-07-01 00:00:00pages
419-29issue
6eissn
1350-4533issn
1873-4030pii
S1350453302000310journal_volume
24pub_type
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