| 1 | F0-Statistics in Dysphonic Voices
1
University of Luebeck, Phoniatrics and Pedaudiology, Luebeck
2
University of Luebeck, Faculty of Science, Luebeck
This paper reports statistics on the fundamental frequency distribution in 145 dysphonic voices and 5 normal subjects with special emphasis on the occurence of low frequency component in connected speech. We used kernel density estimates with Epanechnikov kernel and optimal bandwidth for mode detection. Density estimates of the F0-distribution for 150 voices showed in 48% of cases a bimodal distribution, which was understood to be due to a notable amount of creaky voice and subharmonic frequencies. The distribution characteristics of F0 in dysphonic voices have been used to investigate their effect on roughness judgements. We demonstrate the limitations of describing dysphonic voices in terms of mean, median and frequency range values in long-term F0 measurements and suggest that modal analysis would offer an additional dimension in describing dysphonic voices. |
| 2 | Can Acoustic Analysis Differentiate Between Clear and not Clear Voice Quality in Speech Pathologists?
1
University of Sydney, Speech Pathology, Sydney
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| 3 | Comparison of automated and perceptual categorization of normal and pathological voices
1
Kaunas University of Medicine, Otolaryngology, Kaunas
2
Kaunas University of Technology, Department of Electrical & Control Instrumentation, Kaunas
3
Halmstad University, Intelligent Systems Laboratory, Halmstad
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| 4 | Acoustic analysis, Maximum Phonation Time, and VHI for assessment of thyroplasty for vocal fold paralysis. A prospectively study of twenty patients.
1
Odense Universety Hospital, Oto-rhino-laryngology, Odense
2
Center of rehabilitation and Special Counseling Speech Department, , Odense
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| 5 | How does the hydration level affect the voice?
1
CRS (center for rehabilitering og specialrådgivning), Tale-høre instituttet, Odense
2
Odense University Hospital, oto-rhino-laryngo , Odense
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