Zobrazeno 1 - 8
of 8
pro vyhledávání: '"CHIARÁIN, NEASA NÍ"'
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
Publikováno v:
Reading & Writing; Dec2024, Vol. 37 Issue 10, p2781-2802, 22p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
AKHLAGHI, ELHAM, BĄCZKOWSKA, ANNA, BÉDI, BRANISLAV, BEEDAR, HAKEEM, CHUA, CATHY, CUCCHIARINI, CATIA, HABIBI, HANIEH, HORVÁTHOVÁ, IVANA, MAIZONNIAUX, CHRISTÈLE, CHIARÁIN, NEASA NÍ, PATERSON, NATHALIE, RAHEB, CHADI, RAYNER, MANNY, CHUNLIN YAO
Publikováno v:
Beyond Philology; 2022, Vol. 19 Issue 1, p245-278, 34p
Publikováno v:
Proceedings of the European Conference on Games Based Learning; 2018, p495-503, 9p