no code implementations • CLTW (LREC) 2022 • Liam Lonergan, Mengjie Qian, Harald Berthelsen, Andy Murphy, Christoph Wendler, Neasa Ní Chiaráin, Christer Gobl, Ailbhe Ní Chasaide
This paper describes ÉIST, automatic speech recogniser for Irish, developed as part of the ongoing ABAIR initiative, combining (1) acoustic models, (2) pronunciation lexicons and (3) language models into a hybrid system.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 2 May 2024 • Liam Lonergan, Mengjie Qian, Neasa Ní Chiaráin, Christer Gobl, Ailbhe Ní Chasaide
This setting is then used to train a model with an E-branchformer encoder and the performance of both architectures are compared.
no code implementations • 14 Jul 2023 • Liam Lonergan, Mengjie Qian, Neasa Ní Chiaráin, Christer Gobl, Ailbhe Ní Chasaide
Motivated by this, the present experiments investigate spoken dialect identification of Irish, with a view to incorporating such a system into the speech recognition pipeline.
no code implementations • 14 Jul 2023 • Liam Lonergan, Mengjie Qian, Neasa Ní Chiaráin, Christer Gobl, Ailbhe Ní Chasaide
ASR systems are generally built for the spoken 'standard', and their performance declines for non-standard dialects/varieties.