Issue |
MATEC Web Conf.
Volume 336, 2021
2020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
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Article Number | 06016 | |
Number of page(s) | 7 | |
Section | Artificial Recognition and Application | |
DOI | https://doi.org/10.1051/matecconf/202133606016 | |
Published online | 15 February 2021 |
A language model for Amdo Tibetan speech recognition
1 College of Computer Science and Technology, Qinghai Normal University, Xining, Qinghai 810016, China
2 School of Computer Science and Technology, Southwest Minzu University, Sichuan Chengdu 610041, China
3 Xinlong county Meteorological Bureau, Xinlong county, Sichuan 626800, China
4 Qinghai Provincial Key Laboratory of Tibetan Information Processing and Machine Translation, Xining, Qinghai 810008, China
5 Key Laboratory of Tibetan Information Processing, Ministry of Education, Xining, Qinghai 810008, China
* Corresponding author: aiswoboo@gmail. com
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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