Early Development Indicators Predict Speech Features of Autistic Children

Using iterative adaptation and dynamic mask for child speech extraction under real-world multilingual conditions

“…The challenges that language learning poses to children as the phonological environment changes have been studied in [12]. In [13], a Russian phonetic database AD-Child.Ru was presented, which contains the phonetic data of children with atypical development aged 4-16. Researchers revealed the development of the correlation between language uniqueness and difference in children with autism spectrum disorder on this dataset in [14]. AD-Child.Ru was also used to create an efficient tool for semi-automatic bone detection to detect axial spondylopathy (axSpA) in patients with bone marrow edema lesions [15].…”