A language model for Amdo Tibetan speech recognition
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...
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EDP Sciences
2021-01-01
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doaj-c1d97ac2f9c747fe85248b1310a7457b2021-02-18T10:45:18ZengEDP SciencesMATEC Web of Conferences2261-236X2021-01-013360601610.1051/matecconf/202133606016matecconf_cscns20_06016A language model for Amdo Tibetan speech recognitionSuan TaibenCai RangzhuomaCai ZhijieZu BaGong BaojiaWe 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.https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_06016.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Suan Taiben Cai Rangzhuoma Cai Zhijie Zu Ba Gong Baojia |
spellingShingle |
Suan Taiben Cai Rangzhuoma Cai Zhijie Zu Ba Gong Baojia A language model for Amdo Tibetan speech recognition MATEC Web of Conferences |
author_facet |
Suan Taiben Cai Rangzhuoma Cai Zhijie Zu Ba Gong Baojia |
author_sort |
Suan Taiben |
title |
A language model for Amdo Tibetan speech recognition |
title_short |
A language model for Amdo Tibetan speech recognition |
title_full |
A language model for Amdo Tibetan speech recognition |
title_fullStr |
A language model for Amdo Tibetan speech recognition |
title_full_unstemmed |
A language model for Amdo Tibetan speech recognition |
title_sort |
language model for amdo tibetan speech recognition |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2021-01-01 |
description |
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. |
url |
https://www.matec-conferences.org/articles/matecconf/pdf/2021/05/matecconf_cscns20_06016.pdf |
work_keys_str_mv |
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