Articulatory Feature

Articulatory features, describing the movements of speech organs like the tongue and lips, are crucial for understanding speech production and perception. Current research focuses on modeling the dynamics of these features, often employing techniques like articulatory phonology, task dynamics models, and deep learning architectures (e.g., VQ-VAEs, transformers) to analyze and synthesize speech from articulatory data, including ultrasound and MRI. This work has significant implications for speech technology, particularly in improving speech recognition for diverse populations (e.g., elderly, dysarthric speakers, non-native speakers) and aiding in the diagnosis and treatment of speech disorders. Furthermore, research is exploring the relationship between articulatory and acoustic features to create more robust and interpretable speech models.