{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T00:53:47Z","timestamp":1789779227596,"version":"4.0.1"},"reference-count":19,"publisher":"Acoustical Society of America (ASA)","issue":"5","license":[{"start":{"date-parts":[[2018,5,25]],"date-time":"2018-05-25T00:00:00Z","timestamp":1527206400000},"content-version":"vor","delay-in-days":24,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2018,5,25]],"date-time":"2018-05-25T00:00:00Z","timestamp":1527206400000},"content-version":"tdm","delay-in-days":24,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["pubs.aip.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,5,1]]},"abstract":"<jats:p>This study proposes a method for differentiating hypernasal-speech from normal speech using the vowel space area (VSA). Hypernasality introduces extra formant and anti-formant pairs in vowel spectrum, which results in shifting of formants. This shifting affects the size of the VSA. The results show that VSA is reduced in hypernasal-speech compared to normal speech. The VSA feature plus Mel-frequency cepstral coefficient feature for support vector machine based hypernasality detection leads to an accuracy of 86.89% for sustained vowels and 89.47%, 90.57%, and 91.70% for vowels in contexts of high pressure consonants \/k\/, \/p\/, and \/t\/, respectively.<\/jats:p>","DOI":"10.1121\/1.5039718","type":"journal-article","created":{"date-parts":[[2018,5,25]],"date-time":"2018-05-25T15:58:29Z","timestamp":1527263909000},"page":"EL412-EL417","update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":22,"title":["Detection of hypernasality based on vowel space area"],"prefix":"10.1121","volume":"143","author":[{"given":"Akhilesh Kumar","family":"Dubey","sequence":"first","affiliation":[{"name":"Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati 1 , Guwahati 781039, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ayush","family":"Tripathi","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, Visvesvaraya National Institute of Technology (VNIT) 2 , Nagpur, Maharashtra 440010, India \u2008 d.akhilesh@iitg.ernet.in , ayushtripathi1811@gmail.com , prasanna@iitg.ernet.in , samaren@iitg.ernet.in"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S. 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