Search Results for author: Neasa Ní Chiaráin

Found 12 papers, 0 papers with code

Using the LARA Little Prince to compare human and TTS audio quality

no code implementations LREC 2022 Elham Akhlaghi, Ingibjörg Iða Auðunardóttir, Anna Bączkowska, Branislav Bédi, Hakeem Beedar, Harald Berthelsen, Cathy Chua, Catia Cucchiarin, Hanieh Habibi, Ivana Horváthová, Junta Ikeda, Christèle Maizonniaux, Neasa Ní Chiaráin, Chadi Raheb, Manny Rayner, John Sloan, Nikos Tsourakis, Chunlin Yao

Samples of audio totalling about five minutes, representing the same four passages taken from LARA versions of Saint-Exupèry’s “Le petit prince”, were provided for each language in both human and TTS form; the passages were chosen to instantiate the 2x2 cross product of the conditions dialogue, not-dialogue and humour, not-humour.

Challenges in assistive technology development for an endangered language: an Irish (Gaelic) perspective

no code implementations SLPAT (ACL) 2022 Ailbhe Ni Chasaide, Emily Barnes, Neasa Ní Chiaráin, Ronan McGuirk, Oisín Morrin, Muireann Nic Corcráin, Julia Cummins

The need for skilled researchers with a deep knowledge of Irish structure is illustrated in the case of (ii) and (iii), where aspects of Irish linguistic structure (phonological, morphological and grammatical) and the striking differences from English pose challenges for systems aimed at bilingual Irish-English users.

Automatic Speech Recognition for Irish: the ABAIR-ÉIST System

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

Celtic CALL: strengthening the vital role of education for language transmission

no code implementations CLTW (LREC) 2022 Neasa Ní Chiaráin, Madeleine Comtois, Oisín Nolan, Neimhin Robinson-Gunning, John Sloan, Harald Berthelsen, Ailbhe Ní Chasaide

Given the key role of education for the transmission of all the Celtic languages, it is vital that digital technologies be harnessed to maximise the effectiveness of language teaching/learning.

Towards spoken dialect identification of Irish

no code implementations14 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.

Dialect Identification speech-recognition +1

Towards dialect-inclusive recognition in a low-resource language: are balanced corpora the answer?

no code implementations14 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.

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