1. Title: Voice_3 database Three–class problem – normal/ functional(neurological) pathology /organic pathology (BG) 2. Sources: (a) Creator: Dr. St. Hadjitodorov, Dr. P. Mitev, Dr. B. Boyanov Central Lab on Biomedical Engineering Bulgarian Academy of Sciences Acad.G.Bonchev Str., block 105 1113 Sofia, Bulgaria (b) Donor: Dr. D. Doskov, M.D. Phoniatric Department,. University Hospital "Queen Jovanna", Sofia, Bulgaria (c) Date: July, 2005 3. Past Usage: 1.Mitev P., S.Hadjitodorov. Fundamental frequency estimation of voice of patients with laryngeal disorders. Information Sciences Journal, Vol.156, Issues 1-2, 1 November 2003, pp. 3-19. 2.Hadjitodorov, S. P.Mitev. A computer system for acoustic analysis of pathological voices and laryngeal diseases screening. Medical Engineering and Physiscs, 2002, July, 24:6, 419-429. 3.Mitev, P. , Hadjitodorov, S. A Method for Turbulent Noise Estimation in Voiced Signals, Medical & Biological Engineering & Computing, vol.38, 2000, pp. 625-631. 4.Hadjitodorov,S., B.Boyanov, B.Teston. Laryngeal pathology detection by means of class-specific neural maps. IEEE Trans. on Information Technology in Biomedicine, vol.4, No 1, 2000, pp. 68-73. 5.Boyanov B., Doskov D., Mitev P., Hadjitodorov S., Teston B. New cepstral parameters for description of pathologic voice. Comptes Rendus de L'Academie Bulgare des Sciences (Ann. of Bulgarian Academy of Sciences), vol.53, No 3, 2000, pp.41-44. 6.Boyanov B., S. Hadjitodorov. Acoustic analysis of pathological voices and screening of laryngeal diseases. IEEE Engineering in Medicine and Biology Magazine, vol.16, No 4, 1997, pp.74-82 . 7.Boyanov B., S. Hadjitodorov, G. Baudoin, D. Doskov. Method for evaluation the energy in the singer formant. Comptes Rendus de L'Academie Bulgare des Sciences (Ann. of Bulgarian Academy of Sciences),vol. 48, No 8, 1995, pp.25-28. 4. Relevant Information: Signals of patients' voices were processed to derive parameters in the time, spectral and cepstral domains. A computer decision support system was developed at CLBME (Bulgarian Academy of Sciences) to aid diagnosis of laryngeal pathology and especially in detecting its early stages. The system is currently in use at the Phoniatric department of the University Hospital "Queen Jovanna" in Sofia, Bulgaria. 5. Number of Instances: 238 6. Number of Attributes: 10 plus the class attribute (all attributes except "gender" are continuous-valued) 7. Attribute Information: 1. Gender (1- Male, 2 – Female) 2. Age 3. APQ - Amplitude perturbation quotient (Shimmer). 4. PPQ - Pitch period perturbation quotient (Jitter). 5. Diss - The degree of dissimilarity of the shape of the pitch pulses 6. Turbo- measure for the turbulence of the signal 7. Stab – Stability of To (pitch period) generation 8. HNR – harmonics to noise ratio 9. Pecm – Ratio of the energy concentrated in the cepstral pitch impulse to the total cepstral energy. 10. DH - Degree of hoarseness: ratio of noise energy to all energy. 11. Class - Class (1 – normal, 2 – functional pathology, 3 - organic pathology). 8. Missing Attribute Values: None 9. Class Distribution: (out of 238 total instances) -- 52 Normal voices -- 18 Functional Pathological voices -- 168 Organic Pathological voices