ArticlePloS one2022
Cross-linguistic patterns of speech prosodic differences in autism: A machine learning study.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Predictive Processing Among Individuals with Autism Spectrum Disorder During Online Language Comprehension: A Preliminary Systematic Review.Journal of autism and developmental disorders · 2026Pooled it
- Voice Patterns as Markers of Schizophrenia: Building a Cumulative Generalizable Approach Via a Cross-Linguistic and Meta-analysis Based Investigation.Schizophrenia bulletin · 2023Pooled it
- Speech changes in old age: Methodological considerations for speech-based discrimination of healthy ageing and Alzheimer's disease.International journal of language & communication disordersPooled it
- Use of Automation Technologies and Data Mining in Speech Recognition for Autism.Brain and behavior · 2026Review
- A naturalistic, non-invasive method for capturing biometric data during autism evaluations.Frontiers in psychiatry · 2026Article
- A multi-method phenotypic study of sex differences in pragmatic language in autism.Frontiers in psychiatry · 2026Article
- Acoustic analysis of vowel production in adults with autism spectrum disorder: beyond the notion of a unitary autistic voice.Frontiers in psychology · 2026Article
- Brief Report: Atypical Temporal Sensitivity in Coarticulation in Autism: Evidence from Sibilant-Vowel Interaction in Cantonese.Journal of autism and developmental disorders · 2025Article
- A Scoping Review of AI-Based Approaches for Detecting Autism Traits Using Voice and Behavioral Data.Bioengineering (Basel, Switzerland) · 2025Review
- Right-Hemispheric White Matter Organization Is Associated With Speech Timing in Autistic Children.Journal of speech, language, and hearing research : JSLHR · 2025Article
- Prosodic Differences in Women with theInternational journal of molecular sciences · 2025Article
- Atypical vocal imitation of speech and song in autism spectrum disorder: Evidence from Mandarin speakers.Autism : the international journal of research and practice · 2025Article
- Can Natural Speech Prosody Distinguish Autism Spectrum Disorders? A Meta-Analysis.Behavioral sciences (Basel, Switzerland) · 2024Review
- Detecting fatigue in multiple sclerosis through automatic speech analysis.Frontiers in human neuroscience · 2024Article
- A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism.Annual review of biomedical data science · 2023Review
- Oromotor skills in autism spectrum disorder: A scoping review.Autism research : official journal of the International Society for Autism Research · 2023Article
- Differences in speech articulatory timing and associations with pragmatic language ability in autism.Research in autism spectrum disorders · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Differences in speech prosody are a widely observed feature of Autism Spectrum Disorder (ASD). However, it is unclear how prosodic differences in ASD manifest across different languages that demonstrate cross-linguistic variability in prosody. Using a supervised machine-learning analytic approach, we examined acoustic features relevant to rhythmic and intonational aspects of prosody derived from narrative samples elicited in English and Cantonese, two typologically and prosodically distinct languages. Our models revealed successful classification of ASD diagnosis using rhythm-relative features within and across both languages. Classification with intonation-relevant features was significant for English but not Cantonese. Results highlight differences in rhythm as a key prosodic feature impacted in ASD, and also demonstrate important variability in other prosodic properties that appear to be modulated by language-specific differences, such as intonation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.