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      Voice Pathology Detection and Classification Using Auto-Correlation and Entropy Features in Different Frequency Regions

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          Most cited references26

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          Prevalence of voice disorders in teachers and the general population.

          Over 3 million teachers in the United States use their voice as a primary tool of trade and are thought to be at higher risk for occupation-related voice disorders than the general population. However, estimates regarding the prevalence of voice disorders in teachers and the general population vary considerably. To determine the extent that teachers are at greater risk for voice disorders, 2,531 randomly selected participants from Iowa and Utah (1,243 teachers and 1,288 nonteachers) were interviewed by telephone using a voice disorder questionnaire. Prevalence-the number of cases per population at risk at a specific time-was determined. The prevalence of reporting a current voice problem was significantly greater in teachers compared with nonteachers (11.0% vs. 6.2%), chi(2)(1) = 18.2, p 4 weeks in duration), compared with acute voice disorders (20.9% vs. 13.3%), chi(2)(1) = 8.7, p =.003. To assess the association between past voice disorders and possible risks, adjusted odds ratios (ORs) were estimated using multiple logistic regression. The results identified that being a teacher, being a woman, being between 40 and 59 years of age, having 16 or more years of education, and having a family history of voice disorders were each positively associated with having experienced a voice disorder in the past. These results support the notion that teaching is a high-risk occupation for voice disorders. Important information is also provided regarding additional factors that might contribute to the development of voice disorders.
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            Effectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification.

            B S Atal (1974)
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              Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring

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                Author and article information

                Journal
                IEEE Access
                IEEE Access
                Institute of Electrical and Electronics Engineers (IEEE)
                2169-3536
                2018
                2018
                : 6
                : 6961-6974
                Article
                10.1109/ACCESS.2017.2696056
                815cf9ec-2be9-455a-81f7-ac9dbc4a5c1a
                © 2018
                History

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