Dataset customization for English words recognition by articulation
Journal: H&ES Research
Year: 2025

Automatic speech recognition by articulation (lip reading) remains a relevant problem, despite the existing solutions. One of the key difficulties is the insufficient and imbalanced training data, which reduces the accuracy, and most importantly, the generalizing ability of the models. Purpose: to increase the generalizing ability of the automatic speech recognition system by articulation by expanding the database and fine-tuning the model. Methods: expanding the LRW dataset, containing videos o