A comparative study of machine learning-based Chinese dialect speech recognition

Abstract

As the official language of China, Mandarin is used on all formal occasions. However, due to China's rich history and vast population, dialects have become the primary language spoken by many people. While not taught in school, dialects serve as unofficial languages in China and are passed down through word of mouth. In recent years, the use of dialects has significantly declined as people have adapted to using official Mandarin in all settings. However, among the elderly, dialects remain the primary language of communication. The great need to use dialects as the primary mode of communication has laid the foundation for the importance and high demand for dialect speech recognition. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, research on this topic is further analysed and compared. The results suggest that there has been a certain degree of development and progress in dialect speech recognition technology. However, further research is needed to overcome the limitations of low-resource language speech recognition.