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This paper explores the use of Hybrid CTC/Attention encoder-decoder models trained with Intermediate CTC (InterCTC) for Irish (Gaelic) low-resource speech recognition (ASR) and dialect identification (DID). Results are compared to the current best pe
Externí odkaz:
http://arxiv.org/abs/2405.01293
The Irish language is rich in its diversity of dialects and accents. This compounds the difficulty of creating a speech recognition system for the low-resource language, as such a system must contend with a high degree of variability with limited cor
Externí odkaz:
http://arxiv.org/abs/2307.07436
ASR systems are generally built for the spoken 'standard', and their performance declines for non-standard dialects/varieties. This is a problem for a language like Irish, where there is no single spoken standard, but rather three major dialects: Uls
Externí odkaz:
http://arxiv.org/abs/2307.07295
Akademický článek
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Autor:
Gilmartin, Emer, Kim, Jaebok, Diallo, Alpha, Zhao, Yong, Chiarain, Neasa Ni, Su, Ketong, Huang, Yuyun, Cowan, Benjamin, Campbell, Nick, Engwall, O., Lopes, J., Leite, I.
Publikováno v:
SLaTE 2017: proceedings of the Seventh ISCA Workshop on Speech and Language Technology in Education, SLaTE 2017
SLaTE 2017
SLaTE 2017
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::90dc914aeb5dee8c5c739fb5ef9b867d
https://research.utwente.nl/en/publications/caramilla--speech-mediated-language-learning-modules-for-refugee-and-high-school-learners-of-english-and-irish(ccb9b04a-61b6-4b31-a3a2-8cf5b508572d).html
https://research.utwente.nl/en/publications/caramilla--speech-mediated-language-learning-modules-for-refugee-and-high-school-learners-of-english-and-irish(ccb9b04a-61b6-4b31-a3a2-8cf5b508572d).html