Fluency Assessment

Fluency assessment, the measurement of smooth and effortless speech or writing, is a crucial area of research with applications in education, speech therapy, and natural language processing. Current research focuses on developing automated assessment tools using deep learning models, such as recurrent neural networks and large language models, often incorporating acoustic and prosodic features extracted from speech signals or text embeddings. These advancements aim to improve the objectivity, scalability, and efficiency of fluency evaluation compared to traditional human-based methods, ultimately benefiting fields like language learning and the diagnosis and treatment of speech disorders.