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The F\n            <jats:sub>0<\/jats:sub>\n            -independent measures were based on the linear prediction (LP) modeling of vowel samples. Tests using a database of sustained vowel samples, collected from 53 normal and 175 pathological talkers, showed that measures based on the LP model were much superior to the other measures. A classification rate of 96.5% was achieved by a parameter that quantifies the spectral flatness of the unmodeled component of the vowel sample.\n          <\/jats:p>","DOI":"10.1044\/jslhr.4302.469","type":"journal-article","created":{"date-parts":[[2014,7,29]],"date-time":"2014-07-29T21:14:15Z","timestamp":1406668455000},"page":"469-485","source":"Crossref","is-referenced-by-count":135,"title":["Identification of Pathological Voices Using Glottal Noise Measures"],"prefix":"10.1044","volume":"43","author":[{"given":"Vijay","family":"Parsa","sequence":"first","affiliation":[{"name":"National Center for Audiology The University of Western Ontario London, Ontario, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donald G.","family":"Jamieson","sequence":"additional","affiliation":[{"name":"National Center for Audiology The University of Western Ontario London, Ontario, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1310","reference":[{"key":"p_1","unstructured":"Avaaz Innovations Inc. 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