Language Disorder

Language disorders encompass a range of communication difficulties impacting speech production, comprehension, and social interaction, with research focusing on accurate and efficient diagnosis and intervention. Current research employs machine learning models, including deep learning architectures like convolutional neural networks (CNNs) and transformers (e.g., Wav2Vec2, BERT, T5), to analyze speech and language data from various sources (e.g., spontaneous narratives, ultrasound imaging) for automated detection and assessment. These advancements hold significant promise for improving early diagnosis, personalized treatment, and accessibility for individuals with language disorders, particularly in contexts where traditional methods are time-consuming or subjective.