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  <controlfield tag="008">210629s9999    xx            000 0 und d</controlfield>
  <datafield tag="022" ind1=" " ind2=" ">
    <subfield code="a">1520-8524</subfield>
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  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Sishir Kalita</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2="0">
    <subfield code="a">Objective assessment of cleft lip and palate speech intelligibility using articulation and hypernasality measures </subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2019</subfield>
  </datafield>
  <datafield tag="270" ind1=" " ind2=" ">
    <subfield code="a">Department of Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India</subfield>
  </datafield>
  <datafield tag="270" ind1=" " ind2=" ">
    <subfield code="a">Department of Electronics, All India Institute of Speech and Hearing, Mysuru 570006, India</subfield>
  </datafield>
  <datafield tag="270" ind1=" " ind2=" ">
    <subfield code="m">sishir@iitg.ernet.in</subfield>
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  <datafield tag="490" ind1=" " ind2=" ">
    <subfield code="v">Volume 146  Issue 2</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">Assessment of intelligibility is required to characterize the overall speech production capability and to measure the speech outcome of different interventions for individuals with cleft lip and palate (CLP). Researchers have found that articulation error and hypernasality have a significant effect on the degradation of CLP speech intelligibility. Motivated by this finding, the present work proposes an objective measure of sentence-level intelligibility by combining the information of articulation deficits and hypernasality. These two speech disorders represent different aspects of CLP speech. Hence, it is expected that the composite measure based on them may utilize complementary clinical information. The objective scores of articulation and hypernasality are used as features to train a regression model, and the output of the model is considered as the predicted intelligibility score. The Spearman's correlation coefficient based analysis shows a significant correlation between the predicted and perceptual intelligibility scores (&#x3C1;&#x2009;=&#x2009;0.77, p&#x2009;&lt;&#x2009;0.001)</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Dandapat, S</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Girish, K. S.</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Mahadeva Prasanna, S. R.</subfield>
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  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="a">Pushpavathi M.</subfield>
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  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="a">The Journal of the Acoustical Society of America</subfield>
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  <datafield tag="856" ind1=" " ind2=" ">
    <subfield code="u">https://doi.org/10.1121/1.5121310</subfield>
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  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="c">FJAS</subfield>
    <subfield code="y">FJAS</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">17937</subfield>
    <subfield code="d">17937</subfield>
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