A language model for Amdo Tibetan speech recognition
Taiben Suan, Rangzhuoma Cai, Zhijie Cai, Ba Zu, Baojia Gong · MATEC Web of Conferences · 2021
We built a language model which is based on Transformer network architecture, used attention mechanisms to dispensing with recurrence and convalutions entirely. Through the transliteration of Tibetan to International Phonetic Alphabets, the language model was trained using the syllables and phonemes of the Tibetan word as modeling units to predict corresponding Tibetan sentences according to the context semantics of IPA. And it combined with the acoustic model as the Tibetan speech recognition was compared with end-to-end Tibetan speech recognition.