Formant Frequencies and Bandwidths in Relation to Clinical Variables in an Obstructive Sleep Apnea Population

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• 作者：Ana Montero Benavides^&lowast ; ; ^{ana.montero@gaps.ssr.upm.es" class="auth_mail" title="E-mail the corresponding author} ; José ; Luis Blanco Murillo^&lowast ; ; Rubé ; n Ferná ; ndez Pozo^&lowast ; ; Fernando Espinoza Cuadros^&lowast ; ; Doroteo Torre Toledano^&dagger ; ; José ; D. Alcá ; zar-Ramí ; rez^&Dagger ; ; Luis A. Herná ; ndez Gó ; mez^&lowast ;
• 关键词：Formant ; Bandwidth ; Obstructive sleep apnea ; Clinical variables
• 刊名：Journal of Voice
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：30
• 期：1
• 页码：21-29
• 全文大小：273 K

文摘

We investigated whether differences in formants and their bandwidths, previously reported comparing small sample population of healthy individuals and patients with obstructive sleep apnea (OSA), are detected on a larger population representative of a clinical practice scenario. We examine possible indirect or mediated effects of clinical variables, which may shed some light on the connection between speech and OSA.

Study Design

In a retrospective study, 241 male subjects suspected to suffer from OSA were examined. The apnea-hypopnea index (AHI) was obtained for every subject using overnight polysomnography. Furthermore, the clinical variables usually reported as predictors of OSA, body mass index (BMI), cervical perimeter, height, weight, and age, were collected. Voice samples of sustained phonations of the vowels /a/, /e/, /i/, /o/, and /u/ were recorded.

Methods

Formant frequencies F1, F2, and F3 and bandwidths BW1, BW2, and BW3 of the sustained vowels were determined using spectrographic analysis. Correlations among AHI, clinical parameters, and formants and bandwidths were determined.

Results

Correlations between AHI and clinical variables were stronger than those between AHI and voice features. AHI only correlates poorly with BW2 of /a/ and BW3 of /e/. A number of further weak but significant correlations have been detected between voice and clinical variables. Most of them were for height and age, with two higher values for age and F2 of /o/ and F2 of /u/. Only few very weak correlations were detected between voice and BMI, weight and cervical perimeter, wich are the clinical variables more correlated with AHI.

Conclusions

No significant correlations were detected between AHI and formant frequencies and bandwidths. Correlations between voice and other clinical factors characterizing OSA are weak but highlight the importance of considering indirect or mediated effects of such clinical variables in any research on speech and OSA.