Key Highlights on Developmental Language Disorders (DLDs):

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Journal-ASEP1 reference.pdf

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Date of Publication -

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Fast screening for children’s developmental language disorders via comprehensive speech ability evaluation using a novel deep learning framework

Apr 29, 2020

Xing Zhang, Feng Qin, Zelin Chen, Leyan Gao, Guoxin Qiu, Shuo Lu

Detailed Report -

Report

Significance of DLDs:

• DLDs are the most common developmental disorder in children, affecting 5–8% of preschoolers.
• They are linked to speech issues like pronunciation and comprehension difficulties, leading to social and behavioral abnormalities (e.g., dyslexia, autism).

Novel Contributions:

1. Comprehensive Inducing Procedure (CIP):
   • Developed a non-textual, audiovisual stimulus-based evaluation method to assess speech ability in young children, overcoming limitations of text-reliant methods.
2. Deep Learning Framework:
   • Achieved 92.6% accuracy in fast screening for DLDs, offering a reliable alternative to traditional professional evaluations.

Framework Innovations:

• Avoids traditional dependency on text-based stimuli that often fail in young children.
• Evaluates speech ability comprehensively across multiple linguistic levels:
  • Pronunciation
  • Fluency
  • Grammar
  • Semantics
  • Logic

Dataset & Model: