Abstract:With the continuous development of English and Chinese speech recognition technology, the research on minority language speech recognition technology has followed closely and achieved certain results. The Tibetan people are an indispensable member of the Chinese nation's family. The study of Tibetan speech recognition technology is an indispensable part of the research of speech recognition technology. Firstly, the paper presents the research process and research improvement of Tibetan speech recognition in China. Secondly, it introduces the template-based matching and statistical probability model and artificial neural network used in Tibetan speech recognition research from the characteristics of Tibetan language itself and its pronunciation features and elements, then summarizes the characteristics and application scope of the three methods. Finally, it discusses the research progress of Tibetan speech recognition and the characteristics of each recognition method, discusses the difficult problem and the direction of its future development.