Canonical babbling: A marker for earlier identification of late detected developmental disorders?
Abstract Purpose of Review To summarize findings about the emergence and characteristics
of canonical babbling in children with late detected developmental disorders (LDDDs), such …
of canonical babbling in children with late detected developmental disorders (LDDDs), such …
Is speech the new blood? recent progress in ai-based disease detection from audio in a nutshell
In recent years, advancements in the field of artificial intelligence (AI) have impacted several
areas of research and application. Besides more prominent examples like self-driving cars …
areas of research and application. Besides more prominent examples like self-driving cars …
[Retracted] Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms
FW Alsaade, MS Alzahrani - Computational Intelligence and …, 2022 - Wiley Online Library
Autism spectrum disorder (ASD) is a type of mental illness that can be detected by using
social media data and biomedical images. Autism spectrum disorder (ASD) is a neurological …
social media data and biomedical images. Autism spectrum disorder (ASD) is a neurological …
Estimating autism severity in young children from speech signals using a deep neural network
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that involves difficulties
in social communication. Previous research has demonstrated that these difficulties are …
in social communication. Previous research has demonstrated that these difficulties are …
An engineering view on emotions and speech: From analysis and predictive models to responsible human-centered applications
The substantial growth of Internet-of-Things technology and the ubiquity of smartphone
devices has increased the public and industry focus on speech emotion recognition (SER) …
devices has increased the public and industry focus on speech emotion recognition (SER) …
Regression in autism spectrum disorder: A critical overview of retrospective findings and recommendations for future research
Historically, two onset patterns in autism spectrum disorder (ASD) were described: early
onset of symptoms and regression in which one-third appear to show a loss of previously …
onset of symptoms and regression in which one-third appear to show a loss of previously …
Combining voice and language features improves automated autism detection
Variability in expressive and receptive language, difficulty with pragmatic language, and
prosodic difficulties are all features of autism spectrum disorder (ASD). Quantifying language …
prosodic difficulties are all features of autism spectrum disorder (ASD). Quantifying language …
Deep-learning-based detection of infants with autism spectrum disorder using auto-encoder feature representation
Autism spectrum disorder (ASD) is a developmental disorder with a life-span disability.
While diagnostic instruments have been developed and qualified based on the accuracy of …
While diagnostic instruments have been developed and qualified based on the accuracy of …
Pre-and paralinguistic vocal production in ASD: Birth through school age
Abstract Purpose of Review We review what is known about how pre-linguistic vocal
differences in autism spectrum disorder (ASD) unfold across development and consider …
differences in autism spectrum disorder (ASD) unfold across development and consider …
[PDF][PDF] Autism spectrum disorder detection using face features based on deep neural network
The majority of screening instruments for autism spectrum disorder (ASD) rely on subjective
questions given to caregivers. Although behavioral observation is more objective, it is also …
questions given to caregivers. Although behavioral observation is more objective, it is also …