Predicting vocal frequency from selected physiologic measures

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Abstract
Simultaneous physiologic measures were obtained on 4 young adult male human subjects as they sustained phonation at 7 frequencies within their modal-to-falsetto voice range. A multiple regression program was used to determine the contribution of each measure singly and in combination with other measures to the prediction of the resultant voice frequency. The best predictor was cricothyroid muscle activity for the pooled data model and for each individual subject. The contribution of subglottal air pressure and thyroarytenoid muscle activity increased the explained variance by only 4% while the measure of vertical laryngeal position was a significant factor in only 1 subject''s predictive model. Partial models from the pooled data explained from 67-73% of the variance; the obtained measures for individual subjects explained from 90-94% of the variance.

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