• 대한후두음성언어의학회지
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• 제13권2호
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• pp.132-138
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• 2002

Background and Objectives : The complex physiologic structure of the larynx can vibrate in three or more different ways that yield acuostically and perceptually distinct vocal quality. The purpose of this study is to examine the normal range of voice parameters in Multi-Channel Phonatory Function Analyzer and investigate the difference of voice parameters according to the phonatory patterns. Materials and Methods : Forty normal adult speakers (20 men and 20 women) with age ranging from third to forth decades pronounce low, comfortable, and high tone /a/ ; comfortable tone /${\ae}$/, /i/, /o/, and /u/ : fry, falsetto. Voice was analyzed by Newly developed multi-channel phonatory function analyzer. Results : The normal range of voice parameters in this system was similar to the existing data. Fry shows high jitter and falsetto low SQ. Fry and falsetto show low OQ in men but no difference in women. Jitter, OQ and SQ were different between men and women in modal register, whereas there was no gender difference in fry and falsetto. In frequency magnitude spectrum and EGG, modal register, fry and falsetto have distinguishing pattern. Conclusions : Modal register, fry and falsetto are distinguishable in voice parameters and show different vibratory patterns.

• 대한후두음성언어의학회지
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• 제16권2호
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• pp.140-145
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• 2005

Background and Objectives : Voice perturbation measures, such as jitter and shimmer has been importantly used for diagnosis and treatment efficacy of laryngeal dysfunction. This study was conducted to investigate validity of newly developed multi-channel voice analyzer program by comparing with MDVP, PRAAT, TF32. In addition, we compared the voice perturbation measures with different voice analyzer program by type of signals. Materials and Methods : Nineteen mild-severe dysphonic patients participated in our study. Fundamental frequency, jitter and shimmer values were obtained from different voice analyzer program using the same sustained/ah/phonation. Results : Fundamental frequency and shimmer were highly correlated whereas jitter was weakly correlated between newly developed multi-channel voice analyzer program and the others though different pitch computation algorithm except MDVP, In addition, Type 2 and 3 signals were weakly correlated than Type 1. Conclusion : In the clinical setting, clinician may have sufficient information of voice analyzer and control conditions properly for severity of pathologic voice before voice perturbation measure to obtain reliable results.