{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T03:34:59Z","timestamp":1789184099559,"version":"build-2803163510"},"reference-count":50,"publisher":"Acoustical Society of America (ASA)","issue":"4","content-domain":{"domain":["pubs.aip.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,10,1]]},"abstract":"<jats:p>Intelligibility is considered as one of the primary measures for speech rehabilitation of individuals with a cleft lip and palate (CLP). Currently, speech processing and machine-learning-based objective methods are gaining more research interest as a way to quantify speech intelligibility. In this work, joint spectro-temporal features computed from a time\u2013frequency representation of speech are explored to derive speech representations based on Gaussian posteriograms. A comparative framework using dynamic time warping (DTW) is used to quantify the intelligibility of child CLP speech. The DTW distance is used to score sentence-level intelligibility and tested for correlation with perceptual intelligibility ratings obtained from expert speech-language pathologists. A baseline DTW system using the conventional Mel-frequency cepstral coefficients (MFCCs) is also developed to compare the performance of the proposed system. Spearman's rank correlation coefficient between the objective intelligibility scores and the perceptual intelligibility rating is studied. A Williams significance test is conducted to assess the statistical significance of the correlation difference between the methods. The results show that the system based on joint spectro-temporal features significantly outperforms the MFCC-based system.<\/jats:p>","DOI":"10.1121\/1.5064463","type":"journal-article","created":{"date-parts":[[2018,10,29]],"date-time":"2018-10-29T17:03:20Z","timestamp":1540832600000},"page":"2413-2423","update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":11,"title":["Intelligibility assessment of cleft lip and palate speech using Gaussian posteriograms based on joint spectro-temporal features"],"prefix":"10.1121","volume":"144","author":[{"given":"Sishir","family":"Kalita","sequence":"first","affiliation":[{"name":"Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati , Guwahati, Assam 781039, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S. R.","family":"Mahadeva Prasanna","sequence":"additional","affiliation":[{"name":"Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati , Guwahati, Assam 781039, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.","family":"Dandapat","sequence":"additional","affiliation":[{"name":"Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati , Guwahati, Assam 781039, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"231","published-online":{"date-parts":[[2018,10,29]]},"reference":[{"key":"2023071520071424000_c1","volume-title":"Cleft Palate: The Nature and Remediation of Communication Problems","year":"1989"},{"issue":"11","key":"2023071520071424000_c2","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1007\/s00106-007-1620-y","article-title":"Numeric quantification of intelligibility in schoolchildren with isolated and combined cleft palate","volume":"55","year":"2007","journal-title":"HNO"},{"key":"2023071520071424000_c3","volume-title":"Cleft Palate and Craniofacial Anomalies: Effects on Speech and Resonance","year":"2013"},{"key":"2023071520071424000_c4","article-title":"Intelligibility assessment in children with cleft lip and palate in Italian and German","year":"2009"},{"issue":"10","key":"2023071520071424000_c5","doi-asserted-by":"publisher","first-page":"1741","DOI":"10.1016\/j.ijporl.2006.05.016","article-title":"Evaluation of speech intelligibility for children with cleft lip and palate by means of automatic speech recognition","volume":"70","year":"2006","journal-title":"Int. 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