Objective measurement of vocalizations in the assessment of autism spectrum disorder symptoms in preschool age children

被引:7
作者
Moffitt, Jacquelyn M. [1 ]
Ahn, Yeojin Amy [1 ]
Custode, Stephanie [1 ]
Tao, Yudong [2 ]
Mathew, Emilin [1 ]
Parlade, Meaghan [1 ]
Hale, Melissa [1 ]
Durocher, Jennifer [1 ]
Alessandri, Michael [1 ]
Perry, Lynn K. [1 ]
Messinger, Daniel S. [1 ,2 ,3 ]
机构
[1] Univ Miami, Dept Psychol, POB 248185, Coral Gables, FL 33124 USA
[2] Univ Miami, Dept Elect & Comp Engn, Coral Gables, FL 33124 USA
[3] Univ Miami, Dept Pediat & Mus Engn, Coral Gables, FL 33124 USA
关键词
audio processing; objective measurement; vocalization; AUTOMATED VOCAL ANALYSIS; DIAGNOSTIC OBSERVATION SCHEDULE; YOUNG-CHILDREN; SEVERITY; TODDLERS; INFANTS; RISK; CRY;
D O I
10.1002/aur.2731
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Assessment of autism spectrum disorder (ASD) relies on expert clinician observation and judgment, but objective measurement tools have the potential to provide additional information on ASD symptom severity. Diagnostic evaluations for ASD typically include the autism diagnostic observation schedule (ADOS-2), a semi-structured assessment composed of a series of social presses. The current study examined associations between concurrent objective features of child vocalizations during the ADOS-2 and examiner-rated autism symptom severity. The sample included 66 children (49 male; M = 40 months, SD = 10.58) evaluated in a university-based clinic, 61 of whom received an ASD diagnosis. Research reliable administration of the ADOS-2 provided social affect (SA) and restricted and repetitive behavior (RRB) calibrated severity scores (CSS). Audio was recorded from examiner-worn eyeglasses during the ADOS-2 and child and adult speech were differentiated with LENA SP Hub. PRAAT was used to ascertain acoustic features of the audio signal, specifically the mean fundamental vocal frequency (F0) of LENA-identified child speech-like vocalizations (those with phonemic content), child cry vocalizations, and adult speech. Sphinx-4 was employed to estimate child and adult phonological features indexed by the average consonant and vowel count per vocalization. More than a quarter of the variance in ADOS-2 RRB CSS was predicted by the combination of child phoneme count per vocalization and child vocalization F0. Findings indicate that both acoustic and phonological features of child vocalizations are associated with expert clinician ratings of autism symptom severity. Lay Summary: Determination of the severity of autism spectrum disorder is based in part on expert (but subjective) clinician observations during the ADOS-2. Two characteristics of child vocalizations-a smaller number of speech-like sounds per vocalization and higher pitched vocalizations (including cries)-were associated with greater autism symptom severity. The results suggest that objectively ascertained characteristics of children's vocalizations capture variance in children's restricted and repetitive behaviors that are reflected in clinician severity indices.
引用
收藏
页码:1665 / 1674
页数:10
相关论文
共 39 条
  • [1] American Psychiatric Association, 2022, Diagnostic and statistical manual of mental disorders, V5th ed., text rev., DOI [10.1176/appi.books.9780890425596, DOI 10.1176/APPI.BOOKS.9780890425596]
  • [2] The Psychologist as an Interlocutor in Autism Spectrum Disorder Assessment: Insights From a Study of Spontaneous Prosody
    Bone, Daniel
    Lee, Chi-Chun
    Black, Matthew P.
    Williams, Marian E.
    Lee, Sungbok
    Levitt, Pat
    Narayanan, Shrikanth
    [J]. JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH, 2014, 57 (04): : 1162 - 1177
  • [3] Abnormal speech spectrum and increased pitch variability in young autistic children
    Bonneh, Yoram S.
    Levanon, Yoram
    Dean-Pardo, Omrit
    Lossos, Lan
    Adini, Yael
    [J]. FRONTIERS IN HUMAN NEUROSCIENCE, 2011, 4
  • [4] Potential for Digital Behavioral Measurement Tools to Transform the Detection and Diagnosis of Autism Spectrum Disorder
    Dawson, Geraldine
    Sapiro, Guillermo
    [J]. JAMA PEDIATRICS, 2019, 173 (04) : 305 - 306
  • [5] Using the Language Environment Analysis (LENA) system in preschool classrooms with children with autism spectrum disorders
    Dykstra, Jessica R.
    Sabatos-DeVito, Maura G.
    Irvin, Dwight W.
    Boyd, Brian A.
    Hume, Kara A.
    Odom, Sam L.
    [J]. AUTISM, 2013, 17 (05) : 582 - 594
  • [6] Estimating Autism Severity in Young Children From Speech Signals Using a Deep Neural Network
    Eni, Marina
    Dinstein, Ilan
    Ilan, Michal
    Menashe, Idan
    Meiri, Gal
    Zigel, Yaniv
    [J]. IEEE ACCESS, 2020, 8 : 139489 - 139500
  • [7] The Autism Diagnostic Observation Schedule, Toddler Module: Standardized Severity Scores
    Esler, Amy N.
    Bal, Vanessa Hus
    Guthrie, Whitney
    Wetherby, Amy
    Weismer, Susan Ellis
    Lord, Catherine
    [J]. JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS, 2015, 45 (09) : 2704 - 2720
  • [8] Brief Report: Atypical Expression of Distress During the Separation Phase of the Strange Situation Procedure in Infant Siblings at High Risk for ASD
    Esposito, Gianluca
    Rostagno, Maria del Carmen
    Venuti, Paola
    Haltigan, John D.
    Messinger, Daniel S.
    [J]. JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS, 2014, 44 (04) : 975 - 980
  • [9] Developmental changes in the fundamental frequency (f0) of infants' cries: a study of children with Autism Spectrum Disorder
    Esposito, Gianluca
    Venuti, Paola
    [J]. EARLY CHILD DEVELOPMENT AND CARE, 2010, 180 (08) : 1093 - 1102
  • [10] A granular perspective on inclusion: Objectively measured interactions of preschoolers with and without autism
    Fasano, Regina M.
    Perry, Lynn K.
    Zhang, Yi
    Vitale, Laura
    Wang, Jue
    Song, Chaoming
    Messinger, Daniel S.
    [J]. AUTISM RESEARCH, 2021, 14 (08) : 1658 - 1669