Objective measurement of vocalizations in the assessment of autism spectrum disorder symptoms in preschool age children.
Computer analysis of preschool speech sounds and pitch during ADOS-2 gives you a fast, objective read on repetitive-behavior severity.
01Research in Context
What this study did
Sutton et al. (2022) fed ADOS-2 audio into a computer. The program counted phonemes and measured pitch in each child’s voice.
Kids were preschoolers with autism. The team asked: do these cold, hard numbers track how severe the child’s repetitive behaviors are?
What they found
Children who squeezed more repetitive behaviors into the ADOS-2 spoke with fewer speech sounds per burst and a higher pitch.
Those two simple vocal numbers explained over one-quarter of the variance in repetitive-behavior severity scores.
How this fits with other research
Garrido et al. (2017) saw no link between 14-month babble patterns and later ASD. The new study finds a clear link at preschool age. The gap is developmental, not a clash: early baby sounds are still shaping, but by 3-5 years vocal habits have stabilized enough to flag severity.
Oller et al. (2025) showed that baby boys later diagnosed with ASD steadily drop speech-like sounds across the first year. Sutton et al. (2022) pick up the story later, showing what those drops turn into—shorter, higher-pitched vocal bursts tied to repetitive behaviors.
McQuaid et al. (2024) used the same ADOS-2 footage idea, but they mined video for gaze and smiles. Together the two papers prove you can let a computer score both social looking and social talking during the same standard session.
Why it matters
You already record ADOS-2 for reliability. Run free acoustic software on the file and you get an extra severity marker for repetitive behaviors—no extra test, no extra time. If the numbers look high, you can flag the profile for stricter RRB intervention targets and brief your team before parents even leave the clinic.
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02At a glance
03Original abstract
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.
Autism research : official journal of the International Society for Autism Research, 2022 · doi:10.1002/aur.2731